Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T04:52:08.589685Z
Paper Citation Record · LEDGER
Data-Driven Self-Supervised Graph Representation Learning
As of 21 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2412.18316.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
53 of 53 outbound references displayed
- verified exact1
- verified fuzzy30
- unresolved22
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 291c34e7-c311-4962-89a0-77ff2d45c812 · outbound
This paper cites Vicreg: V ariance-invariance- covariance regularization for self-supervised learning, 2021.
Data-Driven Self-Supervised Graph Representation Learning Vicreg: V ariance-invariance- covariance regularization for self-supervised learning, 2021
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.998187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 54d778d7-413f-49b1-b03c-14551364bd3f · outbound
This paper cites an unresolved cited work.
Data-Driven Self-Supervised Graph Representation Learning Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T04:52:08.989942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a96898d5-96d8-467b-b774-7f4e52b2fb68 · outbound
This paper cites an unresolved cited work.
Data-Driven Self-Supervised Graph Representation Learning Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T04:52:08.980921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ce362e4c-2e5a-4314-a7be-30f2ab96b363 · outbound
This paper cites Unsupervised Learning of Visual Features by Contrasting Cluster Assignments.
Data-Driven Self-Supervised Graph Representation Learning Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:52:08.456538Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe4f6d85-35f2-46c8-a1f9-3535e7c7c1aa · outbound
This paper cites Emerging Properties in Self-Supervised Vision Transformers.
Data-Driven Self-Supervised Graph Representation Learning Emerging Properties in Self-Supervised Vision Transformers
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:52:08.459963Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1af2adbd-96b4-4762-8442-98593f4b9a36 · outbound
This paper cites Exploring Simple Siamese Representation Learning.
Data-Driven Self-Supervised Graph Representation Learning Exploring Simple Siamese Representation Learning
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:52:08.463095Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c135c3bd-3745-460c-8eef-7f39c5142f8e · outbound
This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding, 2019.
Data-Driven Self-Supervised Graph Representation Learning Bert: Pre-training of deep bidirectional transformers for language understanding, 2019
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:52:08.466457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8358c90b-c7fb-4c2d-89c8-772014db9ff2 · outbound
This paper cites Chawla, and Ananthram Swami, ‘Metapath2vec: Scalable representation learning for heterogeneous networks’, inProceedings of the 23rd ACM SIGKDD, KDD ’17, p.
Data-Driven Self-Supervised Graph Representation Learning Chawla, and Ananthram Swami, ‘Metapath2vec: Scalable representation learning for heterogeneous networks’, inProceedings of the 23rd ACM SIGKDD, KDD ’17, p
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.968662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2f939e8d-3cab-4479-9b4d-aa24bfdb1652 · outbound
This paper cites A fair comparison of graph neural networks for graph classification, 2020.
Data-Driven Self-Supervised Graph Representation Learning A fair comparison of graph neural networks for graph classification, 2020
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.960693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 583e8603-601b-40fb-a8ea-e241b2538372 · outbound
This paper cites ACM, (apr 2020).
Data-Driven Self-Supervised Graph Representation Learning ACM, (apr 2020)
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.951692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 08adc405-1494-4f4b-a845-462959a5673d · outbound
This paper cites Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Rémi Munos, and Michal V alko.
Data-Driven Self-Supervised Graph Representation Learning Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Rémi Munos, and Michal V alko
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.943276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2d40295e-1055-40fe-8d98-58d2c61b1c76 · outbound
This paper cites node2vec: Scalable feature learning for networks, 2016.
Data-Driven Self-Supervised Graph Representation Learning node2vec: Scalable feature learning for networks, 2016
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:52:08.480343Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0aaedee9-8b43-4e3c-83ed-6eef4ed1b4e3 · outbound
This paper cites Hamilton, Rex Ying, and Jure Leskovec.
Data-Driven Self-Supervised Graph Representation Learning Hamilton, Rex Ying, and Jure Leskovec
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:52:08.483171Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a14e81e1-0fa2-4706-b040-a02bbc035f6f · outbound
This paper cites Contrastive Multi-View Representation Learning on Graphs.
Data-Driven Self-Supervised Graph Representation Learning Contrastive Multi-View Representation Learning on Graphs
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:52:08.486025Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3e07020-31ab-4bd6-9ccb-1260f3a94202 · outbound
This paper cites Girshick, ‘Momentum contrast for unsupervised visual representation learning’, (2019).
Data-Driven Self-Supervised Graph Representation Learning Girshick, ‘Momentum contrast for unsupervised visual representation learning’, (2019)
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.927075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 17e04b63-aa42-4bd2-82d3-1fefecd1edd1 · outbound
This paper cites 2414–2424, (2021).
Data-Driven Self-Supervised Graph Representation Learning 2414–2424, (2021)
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.917789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e01bffe8-3c80-4f27-a230-fdff06ca6c9c · outbound
This paper cites Kefato and Sarunas Girdzijauskas, ‘Gossip and attend: Context-sensitive graph representation learning’, in14-th International Conference on W eb and Social Media, ICWSM’20, (2020).
Data-Driven Self-Supervised Graph Representation Learning Kefato and Sarunas Girdzijauskas, ‘Gossip and attend: Context-sensitive graph representation learning’, in14-th International Conference on W eb and Social Media, ICWSM’20, (2020)
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.909235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation caf66fd0-fae3-4efb-ba4b-e3cf47199101 · outbound
This paper cites Kefato and Sarunas Girdzijauskas, ‘Self-supervised graph neural networks without explicit negative sampling’,CoRR, (2021).
Data-Driven Self-Supervised Graph Representation Learning Kefato and Sarunas Girdzijauskas, ‘Self-supervised graph neural networks without explicit negative sampling’,CoRR, (2021)
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.900766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 92885f68-4be3-4693-8d51-8c43dbef96f1 · outbound
This paper cites Kipf and Max Welling.
Data-Driven Self-Supervised Graph Representation Learning Kipf and Max Welling
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:52:08.499892Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5dfc8471-8503-42f3-9c79-e99e3c1c8f1d · outbound
This paper cites Diffusion improves graph learning, 2019.
Data-Driven Self-Supervised Graph Representation Learning Diffusion improves graph learning, 2019
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.887857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ad26e791-eb46-46a7-b897-4f161029ade5 · outbound
This paper cites Albert: A lite bert for self-supervised learning of language representations, 2020.
Data-Driven Self-Supervised Graph Representation Learning Albert: A lite bert for self-supervised learning of language representations, 2020
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:52:08.505191Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9278c92d-6104-4dde-94c6-21dd08a58b4a · outbound
This paper cites an unresolved cited work.
Data-Driven Self-Supervised Graph Representation Learning Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T04:52:08.875555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation eba21460-84bc-40c9-839a-c29a3390db05 · outbound
This paper cites Roberta: A robustly optimized bert pretraining approach, 2019.
Data-Driven Self-Supervised Graph Representation Learning Roberta: A robustly optimized bert pretraining approach, 2019
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.867554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8d65e21f-a120-49b1-a8e0-14c014205dcc · outbound
This paper cites an unresolved cited work.
Data-Driven Self-Supervised Graph Representation Learning Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T04:52:08.857745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4495d539-6e82-4ba2-80b7-e942a586b4c8 · outbound
This paper cites 5371–5378, (2020).
Data-Driven Self-Supervised Graph Representation Learning 5371–5378, (2020)
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.848556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 874bbbe2-2b89-416e-be5f-49d6461db63a · outbound
This paper cites 701–710, New Y ork, NY , USA, (2014).
Data-Driven Self-Supervised Graph Representation Learning 701–710, New Y ork, NY , USA, (2014)
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.839799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation abdf28c1-738f-4900-ae0b-dae753ed6e86 · outbound
This paper cites Heterogeneous Deep Graph Infomax.
Data-Driven Self-Supervised Graph Representation Learning Heterogeneous Deep Graph Infomax
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:52:08.520694Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9aa58e7d-7334-48d1-839c-8cefc428a358 · outbound
This paper cites Multi-scale attributed node embedding, 2021.
Data-Driven Self-Supervised Graph Representation Learning Multi-scale attributed node embedding, 2021
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.831297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8c4be315-33b6-4b93-9c6c-8fba17496f94 · outbound
This paper cites 1157–1166, (2022).
Data-Driven Self-Supervised Graph Representation Learning 1157–1166, (2022)
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.823173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 64ea6c4e-5877-48e8-99c5-de91aa679938 · outbound
This paper cites Kaplan, Jiawei Han, and Jian Peng.
Data-Driven Self-Supervised Graph Representation Learning Kaplan, Jiawei Han, and Jian Peng
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.815712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 09beef0f-b639-4aba-914b-8f2c063f3460 · outbound
This paper cites Pitfalls of graph neural network evaluation, 2019.
Data-Driven Self-Supervised Graph Representation Learning Pitfalls of graph neural network evaluation, 2019
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:52:08.531676Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a3e3619-a25f-4fb9-8727-ce60ae283071 · outbound
This paper cites an unresolved cited work.
Data-Driven Self-Supervised Graph Representation Learning Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T04:52:08.804175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1dbe1a2f-177b-4e62-85e8-3615bbe6e498 · outbound
This paper cites an unresolved cited work.
Data-Driven Self-Supervised Graph Representation Learning Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T04:52:08.797084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c79f067e-79e1-4bf4-9001-5c64ca80e7b5 · outbound
This paper cites Mocl: Contrastive learning on molecular graphs with multi-level domain knowledge, 2021.
Data-Driven Self-Supervised Graph Representation Learning Mocl: Contrastive learning on molecular graphs with multi-level domain knowledge, 2021
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.790131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a056dd5d-0b0e-4840-becf-93ea4faf7837 · outbound
This paper cites Adversarial graph augmentation to improve graph contrastive learning, 2021.
Data-Driven Self-Supervised Graph Representation Learning Adversarial graph augmentation to improve graph contrastive learning, 2021
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.783051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f1807df4-d7df-468c-8b08-55cde7050af8 · outbound
This paper cites an unresolved cited work.
Data-Driven Self-Supervised Graph Representation Learning Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T04:52:08.775813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 02ec0b13-f3ea-473c-83c5-b2f132629ade · outbound
This paper cites 1067–1077, Republic and Canton of Geneva, CHE, (2015).
Data-Driven Self-Supervised Graph Representation Learning 1067–1077, Republic and Canton of Geneva, CHE, (2015)
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.769039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 07d75101-cb0b-4fdd-95dd-9e2b5c9e48b6 · outbound
This paper cites Bootstrapped representation learning on graphs, 2021.
Data-Driven Self-Supervised Graph Representation Learning Bootstrapped representation learning on graphs, 2021
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.761602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1c1b817a-6d13-4cc2-9d11-86450badbfe2 · outbound
This paper cites Augmentations in graph contrastive learning: Current methodological flaws; towards better practices, 2021.
Data-Driven Self-Supervised Graph Representation Learning Augmentations in graph contrastive learning: Current methodological flaws; towards better practices, 2021
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.754164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 20bbd5ca-ec04-4582-8418-19e2cbde85bd · outbound
This paper cites Hamilton, Pietro Liò, Y oshua Bengio, and R Devon Hjelm.
Data-Driven Self-Supervised Graph Representation Learning Hamilton, Pietro Liò, Y oshua Bengio, and R Devon Hjelm
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.746781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 46a65ebf-a794-4132-b4fd-3ece28d7844d · outbound
This paper cites 1631–1639, (2022).
Data-Driven Self-Supervised Graph Representation Learning 1631–1639, (2022)
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.739013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 91a09f9b-afff-4ff7-bcf9-f2e97ae19328 · outbound
This paper cites 2022–2032, New Y ork, NY , USA, (2019).
Data-Driven Self-Supervised Graph Representation Learning 2022–2032, New Y ork, NY , USA, (2019)
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.731481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 56fd5f17-5515-41a1-ae39-390967d7f593 · outbound
This paper cites Self-supervised heterogeneous graph neural network with co-contrastive learning, 2021.
Data-Driven Self-Supervised Graph Representation Learning Self-supervised heterogeneous graph neural network with co-contrastive learning, 2021
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.723848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5f9bc911-4f2e-4f65-a745-2d9a97092948 · outbound
This paper cites 1726–1736, (2021).
Data-Driven Self-Supervised Graph Representation Learning 1726–1736, (2021)
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.715442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 77f1a519-753d-4db4-a361-03f54af9625d · outbound
This paper cites 1070–1079, (2022).
Data-Driven Self-Supervised Graph Representation Learning 1070–1079, (2022)
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.707963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6eb54195-5547-4192-b564-b497f3b1b948 · outbound
This paper cites Self-supervised learning of graph neural networks: A unified review, 2021.
Data-Driven Self-Supervised Graph Representation Learning Self-supervised learning of graph neural networks: A unified review, 2021
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.700394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8f4a9a6e-0451-4d8e-b873-f01b025c72be · outbound
This paper cites Graph Contrastive Learning Automated.
Data-Driven Self-Supervised Graph Representation Learning Graph Contrastive Learning Automated
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T04:52:08.616391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ce8efe6c-1456-461d-a97a-cc86b952b024 · outbound
This paper cites an unresolved cited work.
Data-Driven Self-Supervised Graph Representation Learning Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T04:52:08.692421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 96e373ec-e8e0-4b81-b5f9-f5f57741ffee · outbound
This paper cites an unresolved cited work.
Data-Driven Self-Supervised Graph Representation Learning Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T04:52:08.684748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 800f5800-aec8-4414-94f4-75c5dd51c65c · outbound
This paper cites Graphsaint: Graph sampling based inductive learning method, 2020.
Data-Driven Self-Supervised Graph Representation Learning Graphsaint: Graph sampling based inductive learning method, 2020
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:52:08.581402Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b365999-1ab2-4dda-b33b-26ed2c388787 · outbound
This paper cites an unresolved cited work.
Data-Driven Self-Supervised Graph Representation Learning Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T04:52:08.672802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a21659df-a08d-40a6-bcb7-2f2ca955f5d9 · outbound
This paper cites Deep graph contrastive representation learning, 2020.
Data-Driven Self-Supervised Graph Representation Learning Deep graph contrastive representation learning, 2020
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.664834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1a8c7b42-2bde-4f15-80c1-7727021645a2 · outbound
This paper cites 2069–2080, New Y ork, NY , USA, (2021).
Data-Driven Self-Supervised Graph Representation Learning 2069–2080, New Y ork, NY , USA, (2021)
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:52:08.656168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.