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Paper Citation Record · LEDGER

Future Link Prediction Without Memory or Aggregation

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2505.19408.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.19408 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:18:42.395182Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

  • verified exact3
  • verified fuzzy24
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 61feebdb-84ea-42d3-bfd8-c862258f6ccc · outbound

This paper cites The Surprising Power of Graph Neural Networks with Random Node Initialization.

Future Link Prediction Without Memory or Aggregation The Surprising Power of Graph Neural Networks with Random Node Initialization

Reference 1

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no resolver link, observed 2026-08-07T14:18:36.259417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:36.259417Z digest=sha256:a2967644d63fe486f762b9580ba4af89bbd0475a2de65ca550716e24e35e7f5e

Observation d64856af-77b1-4940-b849-2f6692b3fbf0 · outbound

This paper cites Temporal graph neural networks for social recommendation.

Future Link Prediction Without Memory or Aggregation Temporal graph neural networks for social recommendation

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T14:18:50.621574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:36.437050Z digest=sha256:851a810d64c696c3dc457eb381178dc9ab597a3640fb71a942abb5651e9340bb

Observation 39082cb2-7242-457c-aef7-9d805df23ec5 · outbound

This paper cites Towards Invariance to Node Identifiers in Graph Neural Networks.

Future Link Prediction Without Memory or Aggregation Towards Invariance to Node Identifiers in Graph Neural Networks

Reference 3

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no resolver link, observed 2026-08-07T14:18:36.573294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:36.573294Z digest=sha256:96cd0dcf04cbb02207fae98fadd168286e0f3d3467277e3b34df9d00dc4bb389

Observation 8ed18f6f-7543-472e-8ff2-e82ef7382a3a · outbound

This paper cites Hot: Higher-order dynamic graph representation learning with efficient transformers.

Future Link Prediction Without Memory or Aggregation Hot: Higher-order dynamic graph representation learning with efficient transformers

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-07T14:18:50.294355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:36.745736Z digest=sha256:d6be3bf98cd654bc839395ba6521d6583ac6c6e86c7b9e4234c8d6a4d7af1e5c

Observation 3d58dad3-1044-4198-9c2b-2ea08799da09 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Future Link Prediction Without Memory or Aggregation Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 5

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unresolved
no resolver link, observed 2026-08-07T14:18:36.931839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:36.931839Z digest=sha256:6b1ee3cf1690b69a7db9f4d2f4aa3afebeca87e1615aebdae398b41cf4a83618

Observation 80450f18-c75e-4c76-aa0c-e26841beb98e · outbound

This paper cites an unresolved cited work.

Future Link Prediction Without Memory or Aggregation Unresolved cited work

Reference 6

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raw_fallback, observed 2026-08-07T14:18:49.948802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:37.051349Z digest=sha256:971c1a69c7c0b589fa7ca2dd0a16b1870c8bd6f29a995e78719476051eb61f20

Observation a52fb145-39e5-475d-bc41-0defc0978605 · outbound

This paper cites Applications of link prediction in social networks: A review.Journal of Network and Computer Applications, 166:102716, 2020.

Future Link Prediction Without Memory or Aggregation Applications of link prediction in social networks: A review.Journal of Network and Computer Applications, 166:102716, 2020

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T14:18:49.687514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:37.193075Z digest=sha256:eccd1725796c9e79b64bc87ed79d8fdc814206f9d2e6bcf54f6f8fbc4baf36e1

Observation cbeb7328-bb2b-4398-a420-3650bea232ae · outbound

This paper cites Temporal link prediction: A survey.New Generation Computing, 38(1):213–258, 2020.

Future Link Prediction Without Memory or Aggregation Temporal link prediction: A survey.New Generation Computing, 38(1):213–258, 2020

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-07T14:18:49.356605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:37.334476Z digest=sha256:c17d2c1a0b7eb31c21c44031e212446df12a913989b9de0a2df8c49a70278cdf

Observation 6ea6176c-52ac-40ed-a107-c48e9ef31f3e · outbound

This paper cites Machine learning on dynamic graphs: a survey on applications.2023 IEEE Ninth Multimedia Big Data (BigMM), pages 32–39, 2023.

Future Link Prediction Without Memory or Aggregation Machine learning on dynamic graphs: a survey on applications.2023 IEEE Ninth Multimedia Big Data (BigMM), pages 32–39, 2023

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-07T14:18:49.059027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:37.455618Z digest=sha256:74f66f395abff596e249974ee4233f6fc7fdf9b5059294ac95caa9b4f8a84439

Observation 93f1d45d-f078-493a-ba28-e1adbe0abc1f · outbound

This paper cites A systemic analysis of link prediction in social network.Artificial Intelligence Review, 52:1961–1995, 2019.

Future Link Prediction Without Memory or Aggregation A systemic analysis of link prediction in social network.Artificial Intelligence Review, 52:1961–1995, 2019

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-07T14:18:48.738693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:37.617806Z digest=sha256:593954e2eab294c7f4e857910b06e4dda329a1737066dad91605ed20db1549bb

Observation 4ef4f8c5-47fb-4ed1-91ac-40459b0f773b · outbound

This paper cites an unresolved cited work.

Future Link Prediction Without Memory or Aggregation Unresolved cited work

Reference 11

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raw_fallback, observed 2026-08-07T14:18:48.485519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:37.739501Z digest=sha256:79cb262db7e9809c0f33070f97a6a4ff2be0633911547a7011b2e06f27442c88

Observation 16856320-491e-415f-b26d-9adc55b0f361 · outbound

This paper cites Tempo- ral graph benchmark for machine learning on temporal graphs.Advances in Neural Information Processing Systems, 36, 2024.

Future Link Prediction Without Memory or Aggregation Tempo- ral graph benchmark for machine learning on temporal graphs.Advances in Neural Information Processing Systems, 36, 2024

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-07T14:18:48.158231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:37.896845Z digest=sha256:39d5798192d9b023d209077e5804ab205c30f91635bf6d48305ce39faf776c34

Observation 8a8c8993-b515-41ee-bd29-c64699a55b46 · outbound

This paper cites Self-attentive sequential recommendation.

Future Link Prediction Without Memory or Aggregation Self-attentive sequential recommendation

Reference 13

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no resolver link, observed 2026-08-07T14:18:38.065114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:38.065114Z digest=sha256:c5fa60881d2ca959d7f3961e473287ee5b5bfc52ce8b7b0cf483fbbe36d0030b

Observation e1fdf86f-66b1-4cb0-aa15-28719e014b01 · outbound

This paper cites Representation learning for dynamic graphs: A survey.Journal of Machine Learning Research, 21(70):1–73, 2020.

Future Link Prediction Without Memory or Aggregation Representation learning for dynamic graphs: A survey.Journal of Machine Learning Research, 21(70):1–73, 2020

Reference 14

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no resolver link, observed 2026-08-07T14:18:38.170311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:38.170311Z digest=sha256:e27ae430ad46a4376a77b6dd0b885d5f1efb12c88ee364541c67a95edb0c64a2

Observation 18f4b958-0f57-4370-b834-a0cbc0668e78 · outbound

This paper cites Learning temporal attention in dynamic graphs with bilinear interactions.Plos one, 16(3):e0247936, 2021.

Future Link Prediction Without Memory or Aggregation Learning temporal attention in dynamic graphs with bilinear interactions.Plos one, 16(3):e0247936, 2021

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-07T14:18:47.879261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:38.316908Z digest=sha256:e08c3b974bc465d8ace1a31c0afac3a20b2c02fbeaa5bd94d5ad144543f70583

Observation fb7521a0-37ed-46db-800f-b066f8ccc594 · outbound

This paper cites Predicting dynamic embedding trajectory in temporal interaction networks.

Future Link Prediction Without Memory or Aggregation Predicting dynamic embedding trajectory in temporal interaction networks

Reference 16

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unresolved
no resolver link, observed 2026-08-07T14:18:38.447173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:38.447173Z digest=sha256:f9e4c9328095f44a4e2cdba725fea5c3f2a481a52a9eff62e42da59f0af147fd

Observation 51ba5196-d008-4311-a6b1-a48c0fa2aa29 · outbound

This paper cites Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report).

Future Link Prediction Without Memory or Aggregation Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report)

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:18:43.252097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:38.569906Z digest=sha256:f11e9364f20b9cba6cb891202134e392d886d0c11b3c538a8853676ae5ae1aa4

Observation 3f7f895e-d2f0-4647-a086-30823c06b47f · outbound

This paper cites What graph neural networks cannot learn: depth vs width.

Future Link Prediction Without Memory or Aggregation What graph neural networks cannot learn: depth vs width

Reference 18

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no resolver link, observed 2026-08-07T14:18:38.716308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:38.716308Z digest=sha256:d4fbd31aeb59984d070d90e3fd54e9fb356e0f4dfa067fdb1a468c88b8a8c560

Observation 3060d87d-07c1-47a0-bab8-a7d0f9b2f2c5 · outbound

This paper cites Neighborhood-aware scalable temporal network representation learning.

Future Link Prediction Without Memory or Aggregation Neighborhood-aware scalable temporal network representation learning

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:47.624297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:38.861542Z digest=sha256:c9ae6e78ffc46fdcfc60b663bbc835aad0d020dc9573db1eb2af960cd0180439

Observation 54e2954f-c2c1-48a5-9175-d805a5fa9475 · outbound

This paper cites The neural hawkes process: A neurally self-modulating multivariate point process.Advances in neural information processing systems, 30, 2017.

Future Link Prediction Without Memory or Aggregation The neural hawkes process: A neurally self-modulating multivariate point process.Advances in neural information processing systems, 30, 2017

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-07T14:18:47.349414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:38.983824Z digest=sha256:4e417fa1dfe3100183a22dfe041cd5cfbc197f96b37d34686b07cfe91adb0542

Observation 6362e3c1-9f25-4803-a5df-8fae95cc95eb · outbound

This paper cites de Rijke.

Future Link Prediction Without Memory or Aggregation de Rijke

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:47.060391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:39.138254Z digest=sha256:c2ad9d2676187a5f9904065262814ee0172ee98c62c290850f32d970c61b4575

Observation 3ef68453-b7ac-41b0-a534-0c6c07b093a4 · outbound

This paper cites an unresolved cited work.

Future Link Prediction Without Memory or Aggregation Unresolved cited work

Reference 22

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raw_fallback, observed 2026-08-07T14:18:46.777450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:39.261524Z digest=sha256:79c6fedf00f78f081bf48efa1b429921febf8c463f978d31f8799007f02168e7

Observation b7d30cfb-2885-4f17-875e-3853ae3c5cb0 · outbound

This paper cites Towards better evaluation for dynamic link prediction.Advances in Neural Information Processing Systems, 35:32928–32941, 2022.

Future Link Prediction Without Memory or Aggregation Towards better evaluation for dynamic link prediction.Advances in Neural Information Processing Systems, 35:32928–32941, 2022

Reference 23

Resolution
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raw_fallback, observed 2026-08-07T14:18:46.472907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:39.384406Z digest=sha256:87dfa5ab64c4d4a9b98ce26c25db462c29e84fbd7a9a20da1ca4a17efcc9f0a1

Observation dc0842eb-d6ae-42e7-9c6b-130af9252398 · outbound

This paper cites Temporal graph learning for financial world: Algorithms, scalability, explainability & fairness.

Future Link Prediction Without Memory or Aggregation Temporal graph learning for financial world: Algorithms, scalability, explainability & fairness

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:46.211790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:39.535700Z digest=sha256:f731f479978da666f7d173de90926eccb7f34b2d2da411db65037263e88ef264

Observation cd2a629b-0fcd-4970-af8a-a4caa873520a · outbound

This paper cites BPR: Bayesian Personalized Ranking from Implicit Feedback.

Future Link Prediction Without Memory or Aggregation BPR: Bayesian Personalized Ranking from Implicit Feedback

Reference 25

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no resolver link, observed 2026-08-07T14:18:39.720960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:39.720960Z digest=sha256:693108200c9cdc9949b81eca7e5617e1529a7db4612656389220c1718f29ed00

Observation 36ef97a9-3938-41ed-9d9a-105acba1a267 · outbound

This paper cites Temporal graph networks for deep learning on dynamic graphs.

Future Link Prediction Without Memory or Aggregation Temporal graph networks for deep learning on dynamic graphs

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:45.922340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:39.862888Z digest=sha256:4de28050f8cc0c7e0770122a2ee9c21726f55b7e6358aa5f28f35b5248f23186

Observation ba21ce28-fafd-4d7f-959b-a256eb4108b0 · outbound

This paper cites Methods and metrics for cold-start recommendations.

Future Link Prediction Without Memory or Aggregation Methods and metrics for cold-start recommendations

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:40.007248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:40.007248Z digest=sha256:1859cf9dbacee454b1f3350a06243b8bb0b62064f19a2d1ab06dc0fc5dbdcc8e

Observation 1a3616ae-3d40-4a63-8cb9-9d1fedb57b16 · outbound

This paper cites Foundations and modeling of dynamic networks using dynamic graph neural networks: A survey.iEEE Access, 9:79143–79168, 2021.

Future Link Prediction Without Memory or Aggregation Foundations and modeling of dynamic networks using dynamic graph neural networks: A survey.iEEE Access, 9:79143–79168, 2021

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:45.682629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:40.159349Z digest=sha256:4e7f69aeff9a93af29a2e0356b6da90f886b460afafd01a06f77edad90cd3449

Observation f19a5c2e-b25d-492b-8b0c-ae2e7cc1ae94 · outbound

This paper cites Co-author rela- tionship prediction in heterogeneous bibliographic networks.

Future Link Prediction Without Memory or Aggregation Co-author rela- tionship prediction in heterogeneous bibliographic networks

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:45.419336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:40.295194Z digest=sha256:5ef5298460e1f982c32fa39e44b0fb3a8dbbad053cff8dbde338503f9b8d64af

Observation b64ac4bc-0124-4dc0-8b2d-817d55060ecd · outbound

This paper cites Mlp-mixer: An all-mlp architecture for vision.Advances in neural information processing systems, 34: 24261–24272, 2021.

Future Link Prediction Without Memory or Aggregation Mlp-mixer: An all-mlp architecture for vision.Advances in neural information processing systems, 34: 24261–24272, 2021

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:40.461567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:40.461567Z digest=sha256:270dad848fa936f4e77c3a412c44b357c412e62ea27db5ce6fa4043d8545c62a

Observation 7d4f746f-4933-4236-891c-17a805df200c · outbound

This paper cites Dyrep: Learn- ing representations over dynamic graphs.

Future Link Prediction Without Memory or Aggregation Dyrep: Learn- ing representations over dynamic graphs

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:45.086193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:40.566477Z digest=sha256:83b37a5d10e40aa5a02803ea2d9d3adbf0de8a0acdc886867164df8f4318070c

Observation 81867d02-3006-44ac-9139-67c7ed1f4f5e · outbound

This paper cites Attention is all you need.Advances in Neural Information Processing Systems, 2017.

Future Link Prediction Without Memory or Aggregation Attention is all you need.Advances in Neural Information Processing Systems, 2017

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:40.710609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:40.710609Z digest=sha256:096a9e0e0028811acd582414514db5059ebb253e2f20d7c29013dfc941da0878

Observation c388405f-2670-41ec-900a-3b06788d562c · outbound

This paper cites TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning.

Future Link Prediction Without Memory or Aggregation TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:40.876674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:40.876674Z digest=sha256:f56296b72dc0c002fca22c8dfcf24dc293484da1b73fcef458817b7e690cb229

Observation 43c6eaa9-352c-4a9b-8691-e10ef4bb5f87 · outbound

This paper cites Inductive representation learning in temporal networks via causal anonymous walks.

Future Link Prediction Without Memory or Aggregation Inductive representation learning in temporal networks via causal anonymous walks

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:44.852877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:41.006458Z digest=sha256:2838f9932eb41f678be88ac07230eff51dde1840f6b91789377c5338544db253

Observation e3ce770e-b795-4a5a-9ce6-af685778ae83 · outbound

This paper cites Trend: Temporal event and node dynamics for graph representation learning.

Future Link Prediction Without Memory or Aggregation Trend: Temporal event and node dynamics for graph representation learning

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:44.618638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:41.139974Z digest=sha256:d5f41f908432bdf1ff3cef4f294814708b2833d8bac01334c98a7c2bd07b08f1

Observation 8ae5f9b9-0a05-44f5-98c9-050f8745a1e5 · outbound

This paper cites Recurrent recommender networks.

Future Link Prediction Without Memory or Aggregation Recurrent recommender networks

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:44.367437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 376cac0e-2920-4197-b07a-9711ec7b2b72 · outbound

This paper cites On the feasibility of simple transformer for dynamic graph modeling.

Future Link Prediction Without Memory or Aggregation On the feasibility of simple transformer for dynamic graph modeling

Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d3edf47b-432e-4f9e-8955-58259871869c · outbound

This paper cites Inductive representation learning on temporal graphs.

Future Link Prediction Without Memory or Aggregation Inductive representation learning on temporal graphs

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:43.923534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 66fd8a9b-53ea-49a8-8930-c4b7de6ce524 · outbound

This paper cites Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours.

Future Link Prediction Without Memory or Aggregation Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:18:42.977402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1a587110-2258-4436-a7e8-bb1623b04e92 · outbound

This paper cites Tgb-seq benchmark: Challenging temporal gnns with complex sequential dynamics.

Future Link Prediction Without Memory or Aggregation Tgb-seq benchmark: Challenging temporal gnns with complex sequential dynamics

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:43.715961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a695844f-5ba7-4343-b13f-441549782454 · outbound

This paper cites An Empirical Evaluation of Temporal Graph Benchmark.

Future Link Prediction Without Memory or Aggregation An Empirical Evaluation of Temporal Graph Benchmark

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:18:42.710026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e4561d95-d4b5-40bb-9d3f-c95739ca272e · outbound

This paper cites Towards better dynamic graph learning: New ar- chitecture and unified library.

Future Link Prediction Without Memory or Aggregation Towards better dynamic graph learning: New ar- chitecture and unified library

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:18:43.546894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:18:42.244686Z digest=sha256:be4b9baa457b464f5bba1f1e855df9fece303464341e556ac840f67b0e9541fe

Observation 24304d45-1834-4771-95e3-a1c05f01d0d6 · outbound

This paper cites A survey of dynamic graph neural networks.

Future Link Prediction Without Memory or Aggregation A survey of dynamic graph neural networks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:42.395182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.