Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-17T17:04:50.111090Z
Paper Citation Record · LEDGER
Temporal Graph Networks for Deep Learning on Dynamic Graphs
As of 11 August 2026, this Paper Citation Record lists 100 of 141 outbound references and 91 inbound Pith citation observations for arXiv:2006.10637.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:21:15.000689Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
100 of 141 outbound references displayed
- verified exact13
- verified fuzzy80
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch5
External citation measurements
95
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 21b12ace-42b6-4b91-a0f9-e805f29a7de2 · outbound
This paper cites NIPS , pages=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs NIPS , pages=
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.676841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6cb93ed5-2268-4b7d-9154-9af9f7ef49e6 · outbound
This paper cites IEEE Signal Process.
Temporal Graph Networks for Deep Learning on Dynamic Graphs IEEE Signal Process
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.682791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5d1eec1b-9ca2-4416-86f1-8f043a34d660 · outbound
This paper cites and Leskovec, Jure , title =.
Temporal Graph Networks for Deep Learning on Dynamic Graphs and Leskovec, Jure , title =
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.685812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation ccd5f4bc-346c-4da7-ab75-d611b89a18d1 · outbound
This paper cites and Ying, Rex and Leskovec, Jure , title =.
Temporal Graph Networks for Deep Learning on Dynamic Graphs and Ying, Rex and Leskovec, Jure , title =
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.689272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 77dc08a2-52ed-4992-bed7-b607c63d0d36 · outbound
This paper cites Journal of Machine Learning Research , year =.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Journal of Machine Learning Research , year =
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.692328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 828e6f9d-b41b-4d2e-b012-a1edfc0965b7 · outbound
This paper cites Memory Augmented Graph Neural Networks for Sequential Recommendation.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Memory Augmented Graph Neural Networks for Sequential Recommendation
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T17:04:50.284400Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 23270b30-60b0-4de1-81ec-37133788875d · outbound
This paper cites ICLR , year=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs ICLR , year=
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.695076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2b447775-165d-4a6c-8ea5-271be6f88f07 · outbound
This paper cites CoRR , volume =.
Temporal Graph Networks for Deep Learning on Dynamic Graphs CoRR , volume =
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.698192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b45e7f24-6e37-4892-8348-1a61bf03abd0 · outbound
This paper cites Conference on Uncertainty in Artificial Intelligence , keywords =.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Conference on Uncertainty in Artificial Intelligence , keywords =
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.701408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 54297534-f094-4652-b6ef-ee649dd68f4f · outbound
This paper cites International Conference on Learning Representations , year=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs International Conference on Learning Representations , year=
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.704981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 708c8398-1060-4bf7-af8e-2dd59cfa70e4 · outbound
This paper cites 2017 , isbn =.
Temporal Graph Networks for Deep Learning on Dynamic Graphs 2017 , isbn =
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T17:04:50.249809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f7f2a12f-2903-44d6-a5c6-f1d1f4656f73 · outbound
This paper cites Graph Attention Networks , booktitle =.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Graph Attention Networks , booktitle =
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.708366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2c049f37-20c3-4b0b-810d-9eef116b9dad · outbound
This paper cites NIPS Workshop on Bayesian Deep Learning , year=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs NIPS Workshop on Bayesian Deep Learning , year=
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.713202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 248a12bc-aedd-4d36-bfe5-87bff0e139e5 · outbound
This paper cites NIPS , pages =.
Temporal Graph Networks for Deep Learning on Dynamic Graphs NIPS , pages =
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.716293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation fd9a8740-55eb-4811-8627-ee015a291b76 · outbound
This paper cites an unresolved cited work.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T17:04:50.719052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 80388957-bcce-4943-8eda-56580be0bad1 · outbound
This paper cites ICDM , pages=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs ICDM , pages=
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.721882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 222aef82-4980-4f82-9f98-268f09a02b65 · outbound
This paper cites Applied Intelligence , volume=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Applied Intelligence , volume=
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.725102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 7407d4f5-b497-4763-aef1-5d25a918d77b · outbound
This paper cites Information Sciences , volume=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Information Sciences , volume=
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.728402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 76b31498-200e-4858-a40b-aedd71126087 · outbound
This paper cites Information Sciences , volume=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Information Sciences , volume=
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.731255Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5b34d1a4-2be8-478c-ad43-4fa5cb3adb3b · outbound
This paper cites Procedia Computer Science , volume=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Procedia Computer Science , volume=
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.734613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 90ad82c7-26e0-48da-a616-c3337fbd12fd · outbound
This paper cites DEXA , pages=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs DEXA , pages=
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.737684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 758ec8bb-c634-47e2-b8f8-ecb81b130f75 · outbound
This paper cites INFORMS Journal on Computing , volume=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs INFORMS Journal on Computing , volume=
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.742164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 79f95ee6-fce2-4f75-b565-9e65241bd9a0 · outbound
This paper cites Data Mining and Knowledge Discovery , volume=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Data Mining and Knowledge Discovery , volume=
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.745427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation ce7aa5fb-0c39-425b-aa9e-9827152d570d · outbound
This paper cites VLDB , volume=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs VLDB , volume=
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.748328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4e58c3d0-c2ae-4f42-9f88-5873ddd9acb1 · outbound
This paper cites author=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs author=
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.751331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9215bfb0-9edd-42f6-93df-fd8015d80fc6 · outbound
This paper cites ASONAM , pages=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs ASONAM , pages=
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.754229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2c3a7035-ec85-4e57-a95e-6688459250f9 · outbound
This paper cites IJCNN , pages=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs IJCNN , pages=
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.757256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1b1aced5-2959-4983-89a9-192bc52a5fa4 · outbound
This paper cites Physica A: Statistical Mechanics and its Applications , volume=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Physica A: Statistical Mechanics and its Applications , volume=
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.760350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 238fde6f-b2fa-45a2-a5af-4dbf213dc8ef · outbound
This paper cites Journal of Web Semantics , volume=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Journal of Web Semantics , volume=
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.763327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f9b3d4c5-6b5f-402b-9f05-122ad4b67f20 · outbound
This paper cites AAAI , year=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs AAAI , year=
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.766328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5bae15b0-44d7-46a7-827e-ffaabe78273a · outbound
This paper cites 2018 IEEE International Conference on Big Data , pages=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs 2018 IEEE International Conference on Big Data , pages=
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.769257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation eb06ea0a-5ede-4c2a-b2e4-f7a2a45d846b · outbound
This paper cites TKDD , volume=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs TKDD , volume=
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.372899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b97b0895-3e0b-4fdd-8777-ee74d3be713b · outbound
This paper cites KDD '18 , pages=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs KDD '18 , pages=
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.376721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8a364c51-3bca-4f35-a802-ede1190fa9eb · outbound
This paper cites author=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs author=
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.380578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 137b1490-af4a-41ef-9aff-da62d41f19d0 · outbound
This paper cites AALTD , pages=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs AALTD , pages=
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.384056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e56efde5-b1a3-43c3-af6e-18da605b112c · outbound
This paper cites author=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs author=
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.387558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9481bfca-5d94-42df-ba17-14b424a190ef · outbound
This paper cites Expert Systems with Applications , volume=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Expert Systems with Applications , volume=
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.391335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1b20233c-4907-4f9e-ba4b-7443792d8202 · outbound
This paper cites Efficient Representation Learning Using Random Walks for Dynamic Graphs.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Efficient Representation Learning Using Random Walks for Dynamic Graphs
Reference 51
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-17T17:04:50.326595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 33cc4eb4-01f5-4d27-badf-25f242eacf26 · outbound
This paper cites ASONAM , title=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs ASONAM , title=
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.394646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 77582e55-8490-4531-927c-6efc1dcf5543 · outbound
This paper cites International Conference on Multimedia Modeling , pages=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs International Conference on Multimedia Modeling , pages=
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.398084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation afac54f3-dee6-4095-942a-ddbb3c65f04a · outbound
This paper cites an unresolved cited work.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Unresolved cited work
Reference 55
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T17:04:50.401532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b6adb23e-47e2-4db5-9423-f9d681253417 · outbound
This paper cites IFAC-PapersOnLine , volume=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs IFAC-PapersOnLine , volume=
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.404952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation ac72d229-9ddd-40e0-b1ab-d98f24509e11 · outbound
This paper cites Pattern Recognition , volume=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Pattern Recognition , volume=
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.408396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 109d7e12-0352-4870-8db4-90d07a829b14 · outbound
This paper cites WSDM , pages=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs WSDM , pages=
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.411788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation fc3d5472-9d5b-4f04-8dcd-62e890f0cc60 · outbound
This paper cites 2017 , booktitle =.
Temporal Graph Networks for Deep Learning on Dynamic Graphs 2017 , booktitle =
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.415072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 29d1a6e3-0ab0-49ec-8102-6331ee35b266 · outbound
This paper cites ICLR , year=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs ICLR , year=
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.418463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2c68b8cd-cb89-4b97-a21f-e4922ddf4eb5 · outbound
This paper cites European Conference on Information Retrieval , pages=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs European Conference on Information Retrieval , pages=
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.421682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4421f9d6-8567-4397-9b68-8fddf8a6afda · outbound
This paper cites 2019 , journal=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs 2019 , journal=
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.424958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e0a8d92c-14a4-4ee4-ae0c-48053b50c435 · outbound
This paper cites ECCV , pages=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs ECCV , pages=
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.428227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 69b1d2ff-8c27-4ad3-8ff1-d8042e18b9e4 · outbound
This paper cites CVPR , year=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs CVPR , year=
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.431478Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c0cf3a9d-5007-4704-a234-839b82184589 · outbound
This paper cites ICMLA , year=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs ICMLA , year=
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.434738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 12c7253d-13b1-4d11-8ef0-2cb436911ae8 · outbound
This paper cites NIPS , year =.
Temporal Graph Networks for Deep Learning on Dynamic Graphs NIPS , year =
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.438046Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 7ee38049-d98f-413a-88ba-8fa4ca07d973 · outbound
This paper cites ICML , year =.
Temporal Graph Networks for Deep Learning on Dynamic Graphs ICML , year =
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.441205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation bbeb7f22-8738-427e-a2e5-6175bde63ed0 · outbound
This paper cites Med Image Anal , volume=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Med Image Anal , volume=
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.444406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 38c3711a-3f5a-406d-b266-412e2f9adfbc · outbound
This paper cites Bioinformatics , volume=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Bioinformatics , volume=
Reference 78
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a6df1fd6-8cdd-472b-8b13-c9a88cea1128 · outbound
This paper cites Scientific Reports , volume=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Scientific Reports , volume=
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.450871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 93dfa640-5a2b-42aa-a663-de544783a7a3 · outbound
This paper cites Nature Methods , volume=17, pages=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Nature Methods , volume=17, pages=
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.454307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 3179ad8a-8a5a-417a-95f3-32762b768985 · outbound
This paper cites KDD Workshop on Deep Learning on Graphs , year=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs KDD Workshop on Deep Learning on Graphs , year=
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.458577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f567f5b8-f9c0-4566-a217-5004ef0b4a3b · outbound
This paper cites NIPS , year=.
Temporal Graph Networks for Deep Learning on Dynamic Graphs NIPS , year=
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.461551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8f80b05a-a616-46dd-ba63-d73c8d30ada8 · outbound
This paper cites and Hui, Pik-Mai and Harper, F.
Temporal Graph Networks for Deep Learning on Dynamic Graphs and Hui, Pik-Mai and Harper, F
Reference 83
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T17:04:50.232817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5cee308e-1c74-409c-a610-7d832aa6fa93 · outbound
This paper cites and Welling, Max , biburl =.
Temporal Graph Networks for Deep Learning on Dynamic Graphs and Welling, Max , biburl =
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.464468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6f7fae24-6318-494e-8b0c-f2c961aef389 · outbound
This paper cites An efficient algorithm for link prediction in temporal uncertain social networks.
Temporal Graph Networks for Deep Learning on Dynamic Graphs An efficient algorithm for link prediction in temporal uncertain social networks
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.467391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 93c11109-4307-41e3-a6f7-eedfdcca9a16 · outbound
This paper cites Sampling-based algorithm for link prediction in temporal networks.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Sampling-based algorithm for link prediction in temporal networks
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.470586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 934aa6a2-c6b3-4f21-b48f-2536962f2609 · outbound
This paper cites evolve2vec: Learning network representations using temporal unfolding.
Temporal Graph Networks for Deep Learning on Dynamic Graphs evolve2vec: Learning network representations using temporal unfolding
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.475086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a52e7b54-c316-44c2-8d3a-1adb6ebd1df0 · outbound
This paper cites Interaction networks for learning about objects, relations and physics.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Interaction networks for learning about objects, relations and physics
Reference 88
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.516112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d2b02a91-1f2b-42db-880b-5db876d10005 · outbound
This paper cites Relational inductive biases, deep learning, and graph networks.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Relational inductive biases, deep learning, and graph networks
Reference 89
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T17:04:50.336982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 14cd3173-4991-43ba-b5be-524be5c77abf · outbound
This paper cites Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline
Reference 90
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T17:04:50.307470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 06a59153-89bb-4947-9770-40162df2f11f · outbound
This paper cites Geometric deep learning: going beyond euclidean data.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Geometric deep learning: going beyond euclidean data
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.520079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c2cdde1d-619e-4236-8958-95fb6df074fc · outbound
This paper cites GC-LSTM: Graph Convolution Embedded LSTM for Dynamic Link Prediction.
Temporal Graph Networks for Deep Learning on Dynamic Graphs GC-LSTM: Graph Convolution Embedded LSTM for Dynamic Link Prediction
Reference 92
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T17:04:50.322089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 871d2a1a-494d-4cfe-8ce3-e74cb737f831 · outbound
This paper cites In: Moschitti, A., Pang, B., Daelemans, W.
Temporal Graph Networks for Deep Learning on Dynamic Graphs In: Moschitti, A., Pang, B., Daelemans, W
Reference 93
- Resolution
- metadata mismatch
- doi, observed 2026-05-17T17:04:50.196981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation bdbd6779-7527-433b-bfc2-2effdf97a614 · outbound
This paper cites Bronstein, Spencer Klein, and Joan Bruna.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Bronstein, Spencer Klein, and Joan Bruna
Reference 94
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.523746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 88190d44-1b53-4061-bbed-5e6b7b815f90 · outbound
This paper cites Time series based link prediction.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Time series based link prediction
Reference 95
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.527303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation efb70c1b-bfe8-40a2-828a-7527b9e009d7 · outbound
This paper cites HyTE: Hyperplane-based temporally aware knowledge graph embedding.
Temporal Graph Networks for Deep Learning on Dynamic Graphs HyTE: Hyperplane-based temporally aware knowledge graph embedding
Reference 96
- Resolution
- verified exact
- doi, observed 2026-05-17T17:04:50.243799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 68ad15e0-95b7-468a-b9b2-a6e0651a9932 · outbound
This paper cites De Winter , T.
Temporal Graph Networks for Deep Learning on Dynamic Graphs De Winter , T
Reference 97
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.530383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 64ea6b66-a653-43b6-9514-9b3a670d2575 · outbound
This paper cites Dynamic network embedding: An extended approach for skip-gram based network embedding.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Dynamic network embedding: An extended approach for skip-gram based network embedding
Reference 98
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.533859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8e407fb1-3d11-4061-b9f0-238c0ea0a8b2 · outbound
This paper cites Temporal link prediction using matrix and tensor factorizations.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Temporal link prediction using matrix and tensor factorizations
Reference 99
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.537279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c1b758c5-0b95-4400-97f4-6c3841122a9b · outbound
This paper cites Convolutional networks on graphs for learning molecular fingerprints.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Convolutional networks on graphs for learning molecular fingerprints
Reference 100
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.540675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 409d2cbf-ac61-4f91-847f-a57d4f0fdd95 · outbound
This paper cites Relationship prediction in dynamic heterogeneous information networks.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Relationship prediction in dynamic heterogeneous information networks
Reference 101
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.543843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation bd837918-7827-4a99-a945-99d0eb5ffb9e · outbound
This paper cites Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
Reference 102
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.547118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9737f7a4-9311-4918-8fbf-947104fb5dcc · outbound
This paper cites Learning sequence encoders for temporal knowledge graph completion.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Learning sequence encoders for temporal knowledge graph completion
Reference 103
- Resolution
- verified exact
- doi, observed 2026-05-17T17:04:50.209624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 0c4ca28f-55f3-47dc-a430-36396fcffe2e · outbound
This paper cites Schoenholz, Patrick F.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Schoenholz, Patrick F
Reference 104
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.550133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 165f5835-1a40-4ea0-bb73-640e4fa0b6ba · outbound
This paper cites Diachronic Embedding for Temporal Knowledge Graph Completion.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Diachronic Embedding for Temporal Knowledge Graph Completion
Reference 105
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T17:04:50.330984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4b68e0b9-a383-4760-9379-35a676ce2cdc · outbound
This paper cites DynGEM: Deep Embedding Method for Dynamic Graphs.
Temporal Graph Networks for Deep Learning on Dynamic Graphs DynGEM: Deep Embedding Method for Dynamic Graphs
Reference 106
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T17:04:50.354416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation dc59d72a-16e4-483c-872f-e0ed3e19ed6c · outbound
This paper cites Node2vec: Scalable feature learning for networks.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Node2vec: Scalable feature learning for networks
Reference 107
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T17:04:50.224255Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation eefe3648-3166-4619-a95f-c2e4700bb715 · outbound
This paper cites u ne s , S ule G \.
Temporal Graph Networks for Deep Learning on Dynamic Graphs u ne s , S ule G \
Reference 108
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.553113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 49b13aa4-d281-41d0-98c4-641c3a9d812a · outbound
This paper cites Evolutionary clustering and analysis of bibliographic networks.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Evolutionary clustering and analysis of bibliographic networks
Reference 109
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.556322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1c41caa2-7ac8-4807-84cd-2b00630373ee · outbound
This paper cites Hamilton, Rex Ying, and Jure Leskovec.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Hamilton, Rex Ying, and Jure Leskovec
Reference 110
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.559194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b67a49d8-3bbb-4ec5-acf4-bb702b9619b2 · outbound
This paper cites Representation Learning on Graphs: Methods and Applications.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Representation Learning on Graphs: Methods and Applications
Reference 111
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T17:04:50.291753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 79aedf30-d842-480f-b8ad-1fa4544fcc38 · outbound
This paper cites Semi-supervised graph embedding approach to dynamic link prediction.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Semi-supervised graph embedding approach to dynamic link prediction
Reference 112
- Resolution
- verified exact
- doi, observed 2026-05-17T17:04:50.264583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1928d3ec-0448-41c5-9338-723e19d184fa · outbound
This paper cites Long short -term memory.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Long short -term memory
Reference 113
- Resolution
- verified exact
- doi, observed 2026-05-17T17:04:50.279002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 880441e1-3760-4b74-a114-c20d03ffa0ca · outbound
This paper cites The time-series link prediction problem with applications in communication surveillance.
Temporal Graph Networks for Deep Learning on Dynamic Graphs The time-series link prediction problem with applications in communication surveillance
Reference 114
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.562241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5a465f7d-6fc8-4e45-a0ca-fe4bc9cbd8e4 · outbound
This paper cites Link prediction in dynamic social networks by integrating different types of information.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Link prediction in dynamic social networks by integrating different types of information
Reference 115
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.565684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8f44db43-b9d9-47d0-904d-4e220592fcac · outbound
This paper cites Time2Vec: Learning a Vector Representation of Time.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Time2Vec: Learning a Vector Representation of Time
Reference 116
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T17:04:50.311882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 03b44193-96e6-407a-80b3-806031180c2b · outbound
This paper cites Representation learning for dynamic graphs: A survey.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Representation learning for dynamic graphs: A survey
Reference 117
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.569089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation ad6afbfd-38d7-4a42-a070-331279d489ac · outbound
This paper cites A particle-and-density based evolutionary clustering method for dynamic networks.
Temporal Graph Networks for Deep Learning on Dynamic Graphs A particle-and-density based evolutionary clustering method for dynamic networks
Reference 118
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.572036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a9f7d5a4-0976-4bb3-8193-b0252dca6b78 · outbound
This paper cites Variational graph auto-encoders.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Variational graph auto-encoders
Reference 119
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.575200Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2de8f01b-ff32-4efb-bcc6-836f3ac9d095 · outbound
This paper cites Kipf and Max Welling.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Kipf and Max Welling
Reference 120
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.578019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 13e51e23-ebc1-4f2e-9f67-c3285045623f · outbound
This paper cites Kumar, X.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Kumar, X
Reference 121
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T17:04:50.239506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d0a5dd21-5938-4907-8665-3ae0ae1553be · outbound
This paper cites Diffusion convolutional recurrent neural network: Data-driven traffic forecasting.
Temporal Graph Networks for Deep Learning on Dynamic Graphs Diffusion convolutional recurrent neural network: Data-driven traffic forecasting
Reference 122
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.580991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation bc62db4f-eca9-454c-8455-996059905a92 · outbound
This paper cites The link-prediction problem for social networks.
Temporal Graph Networks for Deep Learning on Dynamic Graphs The link-prediction problem for social networks
Reference 123
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:04:50.583869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Pith citing papers
Observation a352b1ee-a935-4c28-92a1-b1f6860a3411 · inbound
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges cites this paper.
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 71
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T17:04:50.770517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 3fe58d54-c8f2-4e5e-a8b9-872128e517de · inbound
Graph Retention Networks for Dynamic Graphs cites this paper.
Graph Retention Networks for Dynamic Graphs Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T17:45:46.183381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d407bae2-4c45-440a-940a-2149e7f78872 · inbound
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation cites this paper.
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:21:15.000689Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7135020-04c8-4f3d-a803-f7a7d15b335b · inbound
THeGCN: Temporal Heterophilic Graph Convolutional Network cites this paper.
THeGCN: Temporal Heterophilic Graph Convolutional Network Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:38:15.921705Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5dbb7765-5198-4ae6-9fbd-246c49f977b6 · inbound
A Generalizable Anomaly Detection Method in Dynamic Graphs cites this paper.
A Generalizable Anomaly Detection Method in Dynamic Graphs Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:37:43.692820Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48594983-5628-495d-973f-2e64e62a9dc8 · inbound
Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures cites this paper.
Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:21:33.877222Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8be1fbf0-b3c7-4df3-a124-abd853e72eb3 · inbound
CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks cites this paper.
CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:03:56.911085Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 016be9df-3387-4c83-bdd6-da91cf47da58 · inbound
Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection cites this paper.
Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:31:15.119653Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2251231b-40e1-4363-9462-c8f00eb869d2 · inbound
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning cites this paper.
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 35
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 970be5d3-4bf4-46b9-a309-d147d1f57709 · inbound
Data Mining in Transportation Networks with Graph Neural Networks: A Review and Outlook cites this paper.
Data Mining in Transportation Networks with Graph Neural Networks: A Review and Outlook Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 21
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a36e1893-917d-45af-9550-a5c101ee1c91 · inbound
On the Power of Heuristics in Temporal Graphs cites this paper.
On the Power of Heuristics in Temporal Graphs Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 19
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 659b227a-6156-486d-9c6b-164e9520919b · inbound
What makes a good feedforward computational graph? cites this paper.
What makes a good feedforward computational graph? Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 32
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 262bfe97-17b3-439b-b214-47c0c5243ab2 · inbound
Unsupervised Learning of Local Updates for Maximum Independent Set in Dynamic Graphs cites this paper.
Unsupervised Learning of Local Updates for Maximum Independent Set in Dynamic Graphs Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T13:44:52.763307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c9e82db7-193c-4deb-9814-dece8ae19fac · inbound
Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection cites this paper.
Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 56
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c62a82f-9ce4-46f8-808c-29e8d742987e · inbound
Weisfeiler and Leman Follow the Arrow of Time: Expressive Power of Message Passing in Temporal Event Graphs cites this paper.
Weisfeiler and Leman Follow the Arrow of Time: Expressive Power of Message Passing in Temporal Event Graphs Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T02:34:31.907336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9ca7ad9d-8675-474f-80d9-a2d57d56e303 · inbound
OpenAg: Democratizing Agricultural Intelligence cites this paper.
OpenAg: Democratizing Agricultural Intelligence Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 16
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80ac438b-12df-4ff8-83a7-529b77ad230b · inbound
Are Large Language Models Good Temporal Graph Learners? cites this paper.
Are Large Language Models Good Temporal Graph Learners? Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:09:43.852122Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f26677a6-1870-4aae-a755-b74e9940c543 · inbound
Learnable Spatial-Temporal Positional Encoding for Link Prediction cites this paper.
Learnable Spatial-Temporal Positional Encoding for Link Prediction Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:23:50.783282Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aad47487-bb71-4307-b277-13a6e5989c7d · inbound
Graph Prompting for Graph Learning Models: Recent Advances and Future Directions cites this paper.
Graph Prompting for Graph Learning Models: Recent Advances and Future Directions Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 86
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:17:17.086996Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e7369e5-0ce8-4507-a3bf-defe610cee72 · inbound
Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction cites this paper.
Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:49:59.267308Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5700ab6f-8edb-4a88-b2ae-ec6cf178d44d · inbound
Base3: a simple interpolation-based ensemble method for robust dynamic link prediction cites this paper.
Base3: a simple interpolation-based ensemble method for robust dynamic link prediction Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:51:52.094155Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f989f58-41ba-477f-ac46-700fbaf3cdcb · inbound
Dynamic Graph Condensation cites this paper.
Dynamic Graph Condensation Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:46:08.960208Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b050c8ae-d83a-4d4b-a440-caa9c1221705 · inbound
CLGNN: A Contrastive Learning-based GNN Model for Betweenness Centrality Prediction on Temporal Graphs cites this paper.
CLGNN: A Contrastive Learning-based GNN Model for Betweenness Centrality Prediction on Temporal Graphs Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:24:15.690025Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ccfb032e-6b78-4206-ae7f-0970bb9b1ebe · inbound
A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams cites this paper.
A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:12:03.253416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db3855a9-9ed7-4c5c-9d6a-bb3288899268 · inbound
DiT-SGCR: Directed Temporal Structural Representation with Global-Cluster Awareness for Ethereum Malicious Account Detection cites this paper.
DiT-SGCR: Directed Temporal Structural Representation with Global-Cluster Awareness for Ethereum Malicious Account Detection Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:04:03.768197Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65271122-d019-4523-9927-94fbc297e1a1 · inbound
Neural Augmented Kalman Filters for Road Network assisted GNSS positioning cites this paper.
Neural Augmented Kalman Filters for Road Network assisted GNSS positioning Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:17:50.979283Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3698166a-d748-4813-a2aa-e00e794e1e78 · inbound
Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks cites this paper.
Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:44:42.523170Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13b66029-0628-4233-8d6c-1f28fe5ac70b · inbound
T-GRAB: A Synthetic Diagnostic Benchmark for Learning on Temporal Graphs cites this paper.
T-GRAB: A Synthetic Diagnostic Benchmark for Learning on Temporal Graphs Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:46:34.102505Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea74a08c-64e1-4a2b-a72b-92a3fe251d1d · inbound
When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction cites this paper.
When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:23:02.461871Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa999a51-c0e8-43c5-80c6-b1d9e8f4d313 · inbound
Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection cites this paper.
Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:43:53.110574Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c047e4e5-1160-44d5-a58e-b1b0e87aa9ff · inbound
Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems cites this paper.
Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:55:51.099953Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40d6fdea-9215-488c-9812-7e9eaa5019b0 · inbound
CoBAD: Modeling Collective Behaviors for Human Mobility Anomaly Detection cites this paper.
CoBAD: Modeling Collective Behaviors for Human Mobility Anomaly Detection Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:40:14.546256Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 617be5d3-3265-4e7a-95d0-91cd21052773 · inbound
Towards Fair Graph Prompting: A Dual-Prompt Mechanism for Mitigating Attribute and Structural Bias cites this paper.
Towards Fair Graph Prompting: A Dual-Prompt Mechanism for Mitigating Attribute and Structural Bias Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 1998
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:55:00.157299Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 988e862c-88b6-45aa-a264-4aeb54e65a04 · inbound
ChronoSpike: An Adaptive Spiking Graph Neural Network for Dynamic Graphs cites this paper.
ChronoSpike: An Adaptive Spiking Graph Neural Network for Dynamic Graphs Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T17:04:50.770517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e27341c5-8df5-4448-a67e-f31c7a5e66d4 · inbound
DeXposure-FM: A Time-series, Graph Foundation Model for Credit Exposures and Stability on Decentralized Financial Networks cites this paper.
DeXposure-FM: A Time-series, Graph Foundation Model for Credit Exposures and Stability on Decentralized Financial Networks Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T04:53:10.370229Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf37a5b6-6104-4f75-bfe9-2edfcbd2a5f8 · inbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction cites this paper.
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T23:19:23.423698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8e0a8b5-6971-45d3-b19d-8e889b9d2bcb · inbound
AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation cites this paper.
AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 87
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T17:04:50.770517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d1f87239-8e70-4bbd-8e02-d84ea1ff2e1d · inbound
Learning Discriminative and Generalizable Anomaly Detector for Dynamic Graph with Limited Supervision cites this paper.
Learning Discriminative and Generalizable Anomaly Detector for Dynamic Graph with Limited Supervision Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T21:30:11.927366Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e44826a-7b42-4086-8641-558258a18ecf · inbound
DyGnROLE: Asymmetric Pretraining for Edge Classification on Dynamic Graphs cites this paper.
DyGnROLE: Asymmetric Pretraining for Edge Classification on Dynamic Graphs Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:30:51.802324Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation afef6b54-0637-410b-a6e8-44ca4d7abffc · inbound
Normalisation and Initialisation Strategies for Graph Neural Networks in Blockchain Anomaly Detection cites this paper.
Normalisation and Initialisation Strategies for Graph Neural Networks in Blockchain Anomaly Detection Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:18:43.583295Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5739469d-03ca-455f-8627-fa2b267cff61 · inbound
Knowledge Is Not Static: Order-Aware Hypergraph RAG for Language Models cites this paper.
Knowledge Is Not Static: Order-Aware Hypergraph RAG for Language Models Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T17:04:50.770517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 776497f7-7d2f-4195-adaa-110a3396f122 · inbound
Explainable Graph Neural Networks for Interbank Contagion Surveillance: A Regulatory-Aligned Framework for the U.S. Banking Sector cites this paper.
Explainable Graph Neural Networks for Interbank Contagion Surveillance: A Regulatory-Aligned Framework for the U.S. Banking Sector Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T17:04:50.770517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 3d9331ee-7607-4a30-8944-a9830778bc75 · inbound
Beyond Nodes vs. Edges: A Multi-View Fusion Framework for Provenance-Based Intrusion Detection cites this paper.
Beyond Nodes vs. Edges: A Multi-View Fusion Framework for Provenance-Based Intrusion Detection Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T17:04:50.770517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2556569f-a12d-40d0-bdcb-27d31149c7bc · inbound
TRAVELFRAUDBENCH: A Configurable Evaluation Framework for GNN Fraud Ring Detection in Travel Networks cites this paper.
TRAVELFRAUDBENCH: A Configurable Evaluation Framework for GNN Fraud Ring Detection in Travel Networks Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T17:04:50.770517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d75ab3c5-c856-4bfc-9596-742f2f3eab42 · inbound
BiTA: Bidirectional Gated Recurrent Unit-Transformer Aggregator in a Temporal Graph Network Framework for Alert Prediction in Computer Networks cites this paper.
BiTA: Bidirectional Gated Recurrent Unit-Transformer Aggregator in a Temporal Graph Network Framework for Alert Prediction in Computer Networks Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T17:04:50.770517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 90da8aee-b4ec-4489-ba0d-d239742c98d5 · inbound
Explaining Temporal Graph Predictions With Shapley Values cites this paper.
Explaining Temporal Graph Predictions With Shapley Values Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T17:04:50.770517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6445c085-c4a3-43c4-9ac4-630a741475d2 · inbound
PRISM: Iterative Cross-Modal Posterior Refinement for Dynamic Text-Attributed Graphs cites this paper.
PRISM: Iterative Cross-Modal Posterior Refinement for Dynamic Text-Attributed Graphs Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T17:04:50.770517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 204b13c9-df51-4c2a-b2a7-79bad9e03081 · inbound
FAME: Forecasting Academic Impact via Continuous-Time Manifold Evolution cites this paper.
FAME: Forecasting Academic Impact via Continuous-Time Manifold Evolution Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T17:04:50.770517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1e9ab0e6-04aa-444e-ab26-db9addf7f680 · inbound
ATLAS: Efficient Out-of-Core Inference for Billion-Scale Graph Neural Networks cites this paper.
ATLAS: Efficient Out-of-Core Inference for Billion-Scale Graph Neural Networks Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T17:04:50.770517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c5100895-bdc2-49f9-99ea-b6848f1d75ce · inbound
Can LLM Agents Simulate Dynamic Networks? A Case Study on Email Networks with Phishing Synthesis cites this paper.
Can LLM Agents Simulate Dynamic Networks? A Case Study on Email Networks with Phishing Synthesis Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T17:04:50.770517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e88ccfd2-f1a1-4ada-8b0c-5f96b38ac6ce · inbound
Predicting Channel Closures in the Lightning Network with Machine Learning cites this paper.
Predicting Channel Closures in the Lightning Network with Machine Learning Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T17:04:50.770517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 08b461a7-38ff-4551-8ff4-859799eda2db · inbound
Predicting Channel Closures in the Lightning Network with Machine Learning cites this paper.
Predicting Channel Closures in the Lightning Network with Machine Learning Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:13:57.345684Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0d758c1-dcd3-49d4-96bb-893163a550a3 · inbound
DRIFT: A Benchmark for Task-Free Continual Graph Learning with Continuous Distribution Shifts cites this paper.
DRIFT: A Benchmark for Task-Free Continual Graph Learning with Continuous Distribution Shifts Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T17:04:50.770517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 343b0a7a-1427-44d4-a63b-452d81c1f49e · inbound
DRIFT: A Benchmark for Task-Free Continual Graph Learning with Continuous Distribution Shifts cites this paper.
DRIFT: A Benchmark for Task-Free Continual Graph Learning with Continuous Distribution Shifts Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T17:04:50.770517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d7046b97-f9c0-4b8d-ade9-175e62c8989c · inbound
DRIFT: A Benchmark for Task-Free Continual Graph Learning with Continuous Distribution Shifts cites this paper.
DRIFT: A Benchmark for Task-Free Continual Graph Learning with Continuous Distribution Shifts Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T21:55:06.062117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4aea291e-d291-4d6c-bac4-9f1d0e4d633e · inbound
Decoupled and Divergence-Conditioned Prompt for Multi-domain Dynamic Graph Foundation Models cites this paper.
Decoupled and Divergence-Conditioned Prompt for Multi-domain Dynamic Graph Foundation Models Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T17:04:50.770517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation fe746339-8379-403d-9886-65820019e87f · inbound
Attention Dispersion in Dynamic Graph Transformers: Diagnosis and a Transferable Fix cites this paper.
Attention Dispersion in Dynamic Graph Transformers: Diagnosis and a Transferable Fix Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T20:03:43.597600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6e75378b-366e-4731-a79d-173209fe50d8 · inbound
Rethinking Fraud Safety Evaluation: Multi-Round Attacks Reveal Safety-Utility Tradeoffs in Graph-Context LLM Defenders cites this paper.
Rethinking Fraud Safety Evaluation: Multi-Round Attacks Reveal Safety-Utility Tradeoffs in Graph-Context LLM Defenders Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T04:33:57.789960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 74ad086d-d0c6-4699-bda3-437ef4830398 · inbound
A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction cites this paper.
A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T06:34:40.760673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 3f08ff12-72ea-46c0-8178-c60a4393a0bc · inbound
A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction cites this paper.
A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:30:02.955920Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41c92dda-10c5-4abf-80f9-32ffe02a719b · inbound
Dynamic Link Prediction with Temporally Enhanced Signed Graph Neural Networks cites this paper.
Dynamic Link Prediction with Temporally Enhanced Signed Graph Neural Networks Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T22:44:01.812165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 3558532e-c819-43be-8f18-9828a765c5d0 · inbound
Temporal Hyperbolic Graph Representation Learning for Scale-Free Internet Routing and Delay Prediction cites this paper.
Temporal Hyperbolic Graph Representation Learning for Scale-Free Internet Routing and Delay Prediction Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T14:13:30.038538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 23f20c92-3960-4703-aff9-624215e46537 · inbound
Forget Less, Generalize More: Unifying Temporal and Structural Adaptation for Dynamic Graphs cites this paper.
Forget Less, Generalize More: Unifying Temporal and Structural Adaptation for Dynamic Graphs Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T08:33:15.246564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a82c15b0-8c16-4d24-8f96-a6a52b9c997c · inbound
DG-CoLearn: An Efficient Collaborative Learning Framework for Dynamic Graphs cites this paper.
DG-CoLearn: An Efficient Collaborative Learning Framework for Dynamic Graphs Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T23:22:46.635703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation cc215085-2302-4d82-a7ad-47d7cb29826c · inbound
COPF: An Online Framework for Deployment-Stable Counterfactual Fairness in Evolving Graphs cites this paper.
COPF: An Online Framework for Deployment-Stable Counterfactual Fairness in Evolving Graphs Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 13
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-28T19:22:34.602617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e0d4263e-66fb-4756-bf57-3e28d3ef1c09 · inbound
Temporal Motif Signatures for Temporal Graph Neural Networks cites this paper.
Temporal Motif Signatures for Temporal Graph Neural Networks Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T17:12:24.868552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 41470cdf-5e81-40b9-a5ea-c7eaab953e38 · inbound
SA-DTS: Semantic-Aware Digital Twin Synchronization over 6G Networks cites this paper.
SA-DTS: Semantic-Aware Digital Twin Synchronization over 6G Networks Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T06:16:43.950679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b414ba8a-10d0-4dfb-bd7d-38225112fee3 · inbound
Explainable Forecasting of Scientific Breakthroughs from Concept Network Dynamics cites this paper.
Explainable Forecasting of Scientific Breakthroughs from Concept Network Dynamics Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 185
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T07:51:45.407987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8003feec-27a0-43d1-b971-0e3343815a9d · inbound
Forecasting Conceptual Diffusion in Science: The Case of Quantum Computing cites this paper.
Forecasting Conceptual Diffusion in Science: The Case of Quantum Computing Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 186
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T07:51:46.193879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e1528c24-2124-4174-9ff7-9fe91f1fd372 · inbound
Bridging the Semantic-Collaborative Gap: An Asymmetric Graph Architecture for Cold-Start Item Recommendation cites this paper.
Bridging the Semantic-Collaborative Gap: An Asymmetric Graph Architecture for Cold-Start Item Recommendation Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 16
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T15:47:05.943253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a14fa408-d3bb-4903-81ff-cfdac36b60be · inbound
OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation cites this paper.
OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 192
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T20:48:56.421406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d20a5768-4cc4-4d59-aa65-fa4906e22490 · inbound
Explaining Temporal Graph Neural Networks via Feature-induced Information Flow cites this paper.
Explaining Temporal Graph Neural Networks via Feature-induced Information Flow Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T13:49:51.048764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2a04d496-b290-416b-afb9-93b8a0924d48 · inbound
Explaining Temporal Graph Neural Networks via Feature-induced Information Flow cites this paper.
Explaining Temporal Graph Neural Networks via Feature-induced Information Flow Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-07-15T10:31:25.051835Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f7257ee-1923-4273-b477-0003c3cdc83f · inbound
Understanding Rollout Error in Graph World Models cites this paper.
Understanding Rollout Error in Graph World Models Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:37:51.728527Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c85e545-8c54-44a9-942d-37e43758e0db · inbound
Towards Improved Anomaly Detection for Cloud Cybersecurity via Graph Neural Networks cites this paper.
Towards Improved Anomaly Detection for Cloud Cybersecurity via Graph Neural Networks Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T12:54:40.420401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4739947d-f748-479c-b432-cecf17c74a06 · inbound
PromptGNN-sim: Deep Fusion and Alignment of GNN and LLMs for Text-Attributed Graph Learning cites this paper.
PromptGNN-sim: Deep Fusion and Alignment of GNN and LLMs for Text-Attributed Graph Learning Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T08:24:26.870938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b5db805a-3598-482c-b520-aa8a1c167a93 · inbound
Dynamic Neural Graph Encoding of Inference Processes in Deep Weight Space cites this paper.
Dynamic Neural Graph Encoding of Inference Processes in Deep Weight Space Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T17:08:42.731073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 81d25cfe-2992-4d77-89ea-631ba0ee9cb7 · inbound
Poisson-Gamma Modeling of Inter-Relational Dependencies in Dynamic Knowledge Graphs cites this paper.
Poisson-Gamma Modeling of Inter-Relational Dependencies in Dynamic Knowledge Graphs Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T06:29:01.304756Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74c1a712-1a62-4ff2-9a54-94fd9196064c · inbound
Relational Multi-Agent Reinforcement Learning for Dynamic Pricing in High-Speed Railway Markets cites this paper.
Relational Multi-Agent Reinforcement Learning for Dynamic Pricing in High-Speed Railway Markets Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T01:04:24.706890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a7009205-e0fb-4382-a3d6-d8ef1f0e81d9 · inbound
Towards the Explainability of Temporal Graph Networks via Memory Backtracking and Topological Attribution cites this paper.
Towards the Explainability of Temporal Graph Networks via Memory Backtracking and Topological Attribution Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:06:20.034032Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3b551f5-c6b5-45f0-8850-3c6029ede553 · inbound
UniSAGE: Unifying Static and Dynamic Attributes with Hyper-Structure cites this paper.
UniSAGE: Unifying Static and Dynamic Attributes with Hyper-Structure Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:52:36.870956Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b0b8823-f619-4dc9-be34-2a1a34f8c5b9 · inbound
Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs cites this paper.
Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T18:18:15.280053Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a1300cf-1863-4acf-b224-15799609b966 · inbound
Graph Neural Network-based Algorithm Selection for the Traveling Salesman Problem: A Systematic Study of Cost and Rank Losses under Distinct Budget Regimes cites this paper.
Graph Neural Network-based Algorithm Selection for the Traveling Salesman Problem: A Systematic Study of Cost and Rank Losses under Distinct Budget Regimes Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:53:48.297100Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ee17767-939e-490e-bcba-f4248bcd4c84 · inbound
GTIN: A Unified Framework for Joint Event and Time Prediction in Temporal Graphs cites this paper.
GTIN: A Unified Framework for Joint Event and Time Prediction in Temporal Graphs Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T19:16:02.110869Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cacb4448-b59c-413a-b76f-7e7f7ad82ca4 · inbound
THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model cites this paper.
THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T09:58:39.597837Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2cf969f8-18f7-40ea-9c49-8163b6b7550a · inbound
Back to All-Entity Ranking: Sampler-Dependent Evaluation in Continuous-Time Dynamic Graphs cites this paper.
Back to All-Entity Ranking: Sampler-Dependent Evaluation in Continuous-Time Dynamic Graphs Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T00:16:02.931322Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 572c86f7-f922-4b7b-a9d6-57bd0b10bc36 · inbound
Dynamic Spectral Filtering for Temporal Graph Learning: Learning Evolving Propagation Operators cites this paper.
Dynamic Spectral Filtering for Temporal Graph Learning: Learning Evolving Propagation Operators Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T23:33:37.891887Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68939c19-279c-4245-ba24-9e0ce1d1069d · inbound
On fair and realistic performance evaluations for graph-based lateral movement detectors cites this paper.
On fair and realistic performance evaluations for graph-based lateral movement detectors Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T07:58:21.776208Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9138668b-3733-4f07-b4c6-91c67e84bcfa · inbound
THBKG: A Temporal Biomedical Knowledge Graph for Decision-Aligned Clinical Advancement Prediction cites this paper.
THBKG: A Temporal Biomedical Knowledge Graph for Decision-Aligned Clinical Advancement Prediction Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T20:00:46.011574Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5192b614-c65f-4fe5-b0ab-f9b71b21139c · inbound
Dynamic Graph Prompting via Topology-Routed Mixed-Curvature Experts cites this paper.
Dynamic Graph Prompting via Topology-Routed Mixed-Curvature Experts Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:06:22.825138Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d53a28b6-38e0-4e57-b12a-5dd3ec844e97 · inbound
Edge Sparsification via Temporal Forman-Ricci Curvature for Dynamic Graph Learning cites this paper.
Edge Sparsification via Temporal Forman-Ricci Curvature for Dynamic Graph Learning Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:54:58.501043Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.