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Paper Citation Record · LEDGER

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges

As of 10 August 2026, this Paper Citation Record lists 100 of 166 outbound references and 0 inbound Pith citation observations for arXiv:2607.16198.

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

pith.paper-citation-record.v1
2607.16198 v1

Coverage vector

measured 100 of 166 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T15:19:39.956787Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

100 of 166 outbound references displayed

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  • verified fuzzy0
  • unresolved90
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 734ed9e7-3564-40e3-9c95-98cf5153cf77 · outbound

This paper cites In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

Reference 4

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This paper cites In: The Eleventh International Conference on Learning Representations, pp 1--12, ://openreview.net/forum?id=m1oqEOAozQU.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges In: The Eleventh International Conference on Learning Representations, pp 1--12, ://openreview.net/forum?id=m1oqEOAozQU

Reference 5

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Unresolved cited work

Reference 8

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This paper cites In: Proceedings of the First Learning on Graphs Conference, vol 198.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges In: Proceedings of the First Learning on Graphs Conference, vol 198

Reference 14

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Observation a6e2a24f-b4e3-45d1-83a2-da1f12c6ddf6 · outbound

This paper cites Expert Systems with Applications 264:125919.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Expert Systems with Applications 264:125919

Reference 25

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This paper cites Information Processing & Management 63(2):104483.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Information Processing & Management 63(2):104483

Reference 26

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This paper cites arXiv preprint arXiv:161107308.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges arXiv preprint arXiv:161107308

Reference 31

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This paper cites In: International Conference on Learning Representations, pp 1--14, ://openreview.net/forum?id=SJU4ayYgl.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges In: International Conference on Learning Representations, pp 1--14, ://openreview.net/forum?id=SJU4ayYgl

Reference 32

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This paper cites In: International Conference on Learning Representations, pp 1--21, ://openreview.net/forum?id=YicbFdNTTy.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges In: International Conference on Learning Representations, pp 1--21, ://openreview.net/forum?id=YicbFdNTTy

Reference 33

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This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges IEEE Transactions on Pattern Analysis and Machine Intelligence

Reference 42

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This paper cites arXiv preprint arXiv:190711692.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges arXiv preprint arXiv:190711692

Reference 46

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This paper cites In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI '23, doi:10.24963/ijcai.2023/248, ://doi.org/10.24963/ijcai.2023/248.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI '23, doi:10.24963/ijcai.2023/248, ://doi.org/10.24963/ijcai.2023/248

Reference 52

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This paper cites Advances in Neural Information Processing Systems 36:79594--79612.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Advances in Neural Information Processing Systems 36:79594--79612

Reference 54

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges In: Proceedings of the 34th ACM International Conference on Information and Knowledge Management

Reference 57

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This paper cites In: International Conference on Learning Representations, pp 1--18, ://openreview.net/forum?id=CCu6RcUMwK0.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges In: International Conference on Learning Representations, pp 1--18, ://openreview.net/forum?id=CCu6RcUMwK0

Reference 65

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Social Network Analysis and Mining 10(1):67

Reference 72

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This paper cites In: Seventh International Conference on Digital Information Management (ICDIM 2012), IEEE, pp 88--92.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges In: Seventh International Conference on Digital Information Management (ICDIM 2012), IEEE, pp 88--92

Reference 73

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Mathematical problems in engineering 2014(1):869198

Reference 74

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges In: Proceedings of the 2018 10th international conference on machine learning and computing, pp 257--262

Reference 75

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Research Updates in Mathematics and Computer Science 4:33--63

Reference 76

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges EAI Endorsed Transactions on Industrial Networks and Intelligent Systems 7(23)

Reference 78

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges In: Companion Proceedings of the ACM Web Conference 2024, pp 1264--1267

Reference 81

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges In: International Conference on Learning Representations, pp 1--17

Reference 84

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges In: Proceedings of the 41st International Conference on Machine Learning , ICML '24, vol 235

Reference 88

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges arXiv preprint arXiv:241001802

Reference 92

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges In: Proceedings of the 31st International Conference on Neural Information Processing Systems

Reference 93

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges In: International Conference on Learning Representations, pp 1--12, ://openreview.net/forum?id=rJXMpikCZ

Reference 94

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges In: International Conference on Learning Representations, pp 1--24, ://openreview.net/forum?id=e95i1IHcWj

Reference 96

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges In: The Twelfth International Conference on Learning Representations, pp 1--17

Reference 98

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges In: The Twelfth International Conference on Learning Representations, pp 1--39

Reference 101

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Curran Associates, Inc., pp 28877--28888

Reference 110

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges arXiv preprint arXiv:240607926

Reference 116

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges arXiv preprint arXiv:220801820

Reference 124

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Advances in Neural Information Processing Systems 36:21368--21414

Reference 126

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Semantic Parsing on Freebase from Question-Answer Pairs

Reference 127

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Advances in Neural Information Processing Systems , volume=

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Observation f545c0c8-7fe7-4b2b-ad17-22ab6060e703 · outbound

This paper cites and Shah, Neil and Zhao, Tong , month = jul, year =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges and Shah, Neil and Zhao, Tong , month = jul, year =

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Observation 5b9a24f0-9a18-4e8c-9a32-e5f10048ec4d · outbound

This paper cites Do Transformers Really Perform Badly for Graph Representation ? , volume =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Do Transformers Really Perform Badly for Graph Representation ? , volume =

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Observation 8113c8b6-17fd-4f2c-85eb-869f5dcdedbd · outbound

This paper cites Networked inequality: preferential attachment bias in graph neural network link prediction , volume =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Networked inequality: preferential attachment bias in graph neural network link prediction , volume =

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Observation ad5356d6-fbcf-47ea-86b5-8a0c8fbb0da3 · outbound

This paper cites and Kaiser,.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges and Kaiser,

Reference 132

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Observation 1deb89ac-4f45-4582-94fd-babd7df0fbfb · outbound

This paper cites Advances in Neural Information Processing Systems , author =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Advances in Neural Information Processing Systems , author =

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Observation 91e0f72b-9bd3-43f9-8762-17e73a7999a3 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges The Twelfth International Conference on Learning Representations , year=

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Observation 8d80fb32-4de5-41d1-9dfb-dd6d88981d67 · outbound

This paper cites arXiv preprint arXiv:2410.01802 , year=.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges arXiv preprint arXiv:2410.01802 , year=

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Observation 38621d6a-8353-4684-ba31-9aa5d9ac0ad1 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , volume=.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges IEEE Transactions on Knowledge and Data Engineering , volume=

Reference 136

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Observation 79041bd4-9199-4888-8a16-d0737e36bba4 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges RoBERTa: A Robustly Optimized BERT Pretraining Approach

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Observation ebe02d1c-4c94-4ee3-8e23-e8c728821cef · outbound

This paper cites The Twelfth International Conference on Learning Representations , year =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges The Twelfth International Conference on Learning Representations , year =

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Observation bb42ac7a-da96-46d1-8f67-679cd6c8ac35 · outbound

This paper cites Link Prediction on Heterophilic Graphs via Disentangled Representation Learning.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Link Prediction on Heterophilic Graphs via Disentangled Representation Learning

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges arXiv preprint arXiv:2406.07926 , year=

Reference 140

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Observation b6ac3bbb-a601-48f1-b5e7-a0e07e28564d · outbound

This paper cites Advances in neural information processing systems , volume=.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Advances in neural information processing systems , volume=

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Observation 53a1e071-84cc-4353-8b72-f1a237aa503b · outbound

This paper cites Variational Graph Auto-Encoders.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Variational Graph Auto-Encoders

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source=arxiv_source observed=2026-08-02T15:19:39.860653Z digest=sha256:d73100865f7d6a8e8aa65b78e7711cc3f84d406196fb42b681082203f4578cba

Observation f884013e-4792-4db4-923d-938d74d3a4d6 · outbound

This paper cites International Conference on Learning Representations , month = oct, year =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges International Conference on Learning Representations , month = oct, year =

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Observation 748e4173-3d3d-44de-8cab-33a465e2bd99 · outbound

This paper cites International Conference on Learning Representations , year=.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges International Conference on Learning Representations , year=

Reference 144

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Observation 7ed91d9e-4f6f-44be-9e26-77fbdcb13710 · outbound

This paper cites International Conference on Learning Representations , year=.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges International Conference on Learning Representations , year=

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Observation ca2e217b-292c-4c97-89e9-307a434f80b1 · outbound

This paper cites Physical Review E , volume =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Physical Review E , volume =

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Observation afee9410-cb2f-4013-ac1e-8a3cada60137 · outbound

This paper cites Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =

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Observation e203a330-b551-4bac-b92f-647b9b1e553d · outbound

This paper cites Expert Systems with Applications , volume=.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Expert Systems with Applications , volume=

Reference 148

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source=arxiv_source observed=2026-08-02T15:19:39.873035Z digest=sha256:8b6995439899dcc7a9a06b76bd3362a60b9947ba3e9449317bf14b8e43b5aab4

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This paper cites Journal of Big Data , volume=.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Journal of Big Data , volume=

Reference 149

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Observation 938804bd-d0c0-49ad-8db6-4dea0bbdf1f2 · outbound

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges EAI Endorsed Transactions on Industrial Networks and Intelligent Systems , volume=

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Observation 096c9645-8146-4af7-8b94-06fc6585cdae · outbound

This paper cites Journal of Machine Learning Research , volume=.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Journal of Machine Learning Research , volume=

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Observation 62ee5348-f5d5-4136-809b-90d7a9e6170a · outbound

This paper cites ACM Computing Surveys (CSUR) , volume=.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges ACM Computing Surveys (CSUR) , volume=

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Knowledge-Based Systems , volume=

Reference 153

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This paper cites Information Processing & Management , author =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Information Processing & Management , author =

Reference 154

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Advances in Neural Information Processing Systems , volume=

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Computing , volume=

Reference 156

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Advances in Neural Information Processing Systems , volume=

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Proceedings of the 34th ACM International Conference on Information and Knowledge Management , pages =

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Observation 0bc90dc4-7daa-486a-b79a-74d3a04995ba · outbound

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges International Conference on Learning Representations , year=

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Reference 160

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Observation ee707998-e508-49fb-a0b9-e38b838fab69 · outbound

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Reference 161

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Information Processing & Management , author =

Reference 162

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Applied Soft Computing , volume=

Reference 163

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Observation 0252070d-8863-40a9-9901-1bf84346b3ad · outbound

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence , articleno =

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Observation 0e922299-1878-4054-ab86-6d607b697232 · outbound

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Expert Systems with Applications , volume=

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges FakeEdge: Alleviate Dataset Shift in Link Prediction , volume =

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Observation 196c3c90-ef2f-46b0-b84f-f1569ca0a70a · outbound

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A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges International Conference on Learning Representations , year=

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no resolver link, observed 2026-08-02T15:19:39.908713Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T15:19:39.908713Z digest=sha256:e91f6b81b2cee00979d7de44cb4be66060e0a82f67613095c49a6c95f34aeace

Observation 98a56e65-1905-40e5-85f2-d9858520d60f · outbound

This paper cites Pattern Recognition , volume=.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Pattern Recognition , volume=

Reference 168

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source=arxiv_source observed=2026-08-02T15:19:39.910447Z digest=sha256:8df3f84a218dbda8ae532f21f123b850ab4cdc06ba5a611be6c1159be5de61c2

Observation 260ff4a7-834c-491c-8ac1-22aded36cb20 · outbound

This paper cites International Conference on Learning Representations , year=.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges International Conference on Learning Representations , year=

Reference 169

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no resolver link, observed 2026-08-02T15:19:39.912203Z

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source=arxiv_source observed=2026-08-02T15:19:39.912203Z digest=sha256:208372e51fa1ac2924f0309969b121c6aca0ff9c03db69c2b3ab0feb613d0db5

Observation 9b06dd5c-7b07-4bdb-b32d-94de0b683442 · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges The Eleventh International Conference on Learning Representations , year=

Reference 170

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source=arxiv_source observed=2026-08-02T15:19:39.914168Z digest=sha256:c834ff80792dd8da72a22f77bc4d2c80c5457b600a0be1a7de380f53daafcc38

Observation 7bccb26f-fb56-4750-b336-692f868e98bf · outbound

This paper cites Proceedings of the 32nd International Conference on Neural Information Processing Systems , pages =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Proceedings of the 32nd International Conference on Neural Information Processing Systems , pages =

Reference 171

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source=arxiv_source observed=2026-08-02T15:19:39.916302Z digest=sha256:160aa044d358581dbe71c3df1d09dd7d0fc2b1f9b065d1e8543f149027790a0e

Observation 9f73214c-7284-4eb5-a498-5fc67d83b14e · outbound

This paper cites Technological Forecasting and Social Change , volume=.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Technological Forecasting and Social Change , volume=

Reference 172

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no resolver link, observed 2026-08-02T15:19:39.918183Z

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source=arxiv_source observed=2026-08-02T15:19:39.918183Z digest=sha256:73883f97a3db931d76a61943fd82415b0344ae523084efb2bf8ba4c1629e7f51

Observation 6fb48e6f-803c-4c3d-b193-ea2b9267e733 · outbound

This paper cites Advanced Engineering Informatics , author =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Advanced Engineering Informatics , author =

Reference 173

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source=arxiv_source observed=2026-08-02T15:19:39.920220Z digest=sha256:96dfd1f32485bd3ae9230dcbbbe6297378ca1a0bc4d0bfc644d3cb09eecbd550

Observation 514ba310-4d52-4b6d-a5af-867548a82599 · outbound

This paper cites Proceedings of INTERSPEECH , year=.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Proceedings of INTERSPEECH , year=

Reference 174

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verified exact
doi, observed 2026-08-02T15:24:08.549325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-02T15:19:39.922429Z digest=sha256:61e2141c3d5219cb5c3e1147f5625e13db02f1c6526bdef875b08426b1769c9b

Observation 7ce95a67-7141-41d5-b91c-247afe29b1da · outbound

This paper cites Proceedings of the National Academy of Sciences of the United States of America , author =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Proceedings of the National Academy of Sciences of the United States of America , author =

Reference 175

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no resolver link, observed 2026-08-02T15:19:39.924541Z

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source=arxiv_source observed=2026-08-02T15:19:39.924541Z digest=sha256:7e3b2324bf10b86b789e2bb533cf1c341fe6ca48428c83d4038326c73b3b15b5

Observation ec931ab7-2672-4230-8ed2-0aebabf8f25c · outbound

This paper cites Efficient On-Device Session-Based Recommendation , journal =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Efficient On-Device Session-Based Recommendation , journal =

Reference 176

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doi, observed 2026-08-02T15:24:02.716255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-02T15:19:39.926519Z digest=sha256:f06b8b4fa550b93377c693ab633c588e2d5bfacc4e74fdc656af1c85c32ccbf0

Observation f24c34ec-3117-4f8f-8adc-96d9801fed24 · outbound

This paper cites Knowledge-Based Systems , author =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Knowledge-Based Systems , author =

Reference 177

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no resolver link, observed 2026-08-02T15:19:39.928274Z

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source=arxiv_source observed=2026-08-02T15:19:39.928274Z digest=sha256:01a0e340d8124afb5e486f3023bd84ee6a47ff4f1acdeced5b57e2387d5ca5fe

Observation aea3705c-4158-4e4c-b518-2779c50c0a2a · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Advances in Neural Information Processing Systems , volume=

Reference 178

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source=arxiv_source observed=2026-08-02T15:19:39.929975Z digest=sha256:4491ad3448f0e74727ca82665146d232de8a1b024c251e93a8c5127dc638c2a5

Observation 6d88f52d-e74b-4724-863c-d3bfb6176941 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Advances in Neural Information Processing Systems , volume=

Reference 179

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no resolver link, observed 2026-08-02T15:19:39.931616Z

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source=arxiv_source observed=2026-08-02T15:19:39.931616Z digest=sha256:4dad1dfed7f06362bc3bbe0a05b673efa71d4faea0d9b678b6beb9c629c93e0f

Observation 640ce6f7-6c83-4608-a835-693e7d8d3267 · outbound

This paper cites Proceedings of the 31st International Conference on Neural Information Processing Systems , pages=.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Proceedings of the 31st International Conference on Neural Information Processing Systems , pages=

Reference 180

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source=arxiv_source observed=2026-08-02T15:19:39.933270Z digest=sha256:49578389abda8595cc236f3d7cbef210fdb1102ab85113a8cc99a61893869623

Observation 33f38f13-b3a9-4080-861a-c2fb69070511 · outbound

This paper cites Decision Support Systems , author =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Decision Support Systems , author =

Reference 182

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doi, observed 2026-08-02T15:24:07.850194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-02T15:19:39.936863Z digest=sha256:103bb91a5c506953a6d7be343f8ee83be63c9f411623eb2c2aa336849771413b

Observation 9866c26b-6370-449d-b7ae-f8c032ee7bb2 · outbound

This paper cites Proceedings of the Focused Retrieval and Evaluation, and 8th International Conference on Initiative for the Evaluation of XML Retrieval , pages =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Proceedings of the Focused Retrieval and Evaluation, and 8th International Conference on Initiative for the Evaluation of XML Retrieval , pages =

Reference 183

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doi, observed 2026-08-02T15:24:08.374919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-02T15:19:39.938579Z digest=sha256:b9af9b536505d6c5c42b5700a13f65f014f8d4251d9dce156cd9b3971bfd7cc7

Observation 602a5558-822b-48f5-8f35-4a1ee5da25f0 · outbound

This paper cites Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation , year=.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation , year=

Reference 184

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no resolver link, observed 2026-08-02T15:19:39.940328Z

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source=arxiv_source observed=2026-08-02T15:19:39.940328Z digest=sha256:4b82a05620522d687e7f6573dc23e15bdbc7757ff263fc08392eeae27e5cd962

Observation 9002b6d4-fe6b-43e9-bf19-ad78656fa630 · outbound

This paper cites Etude de la distribution florale dans une portion des Alpes et du Jura , volume =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Etude de la distribution florale dans une portion des Alpes et du Jura , volume =

Reference 185

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no resolver link, observed 2026-08-02T15:19:39.942170Z

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source=arxiv_source observed=2026-08-02T15:19:39.942170Z digest=sha256:5b2c56c97c35f976f86539b2010c85b2e6977f7298145f3536b5e11f0d2b3b17

Observation dff050af-113e-4cc0-ad4e-55a0aedfd82d · outbound

This paper cites Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =

Reference 186

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no resolver link, observed 2026-08-02T15:19:39.943794Z

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source=arxiv_source observed=2026-08-02T15:19:39.943794Z digest=sha256:2545fb6229bf3eb96742c6ab729186ef1afeb8f7904d97c8924b14a32532dc8b

Observation b5e56e93-c53e-4881-a71b-4aa83e3a7bca · outbound

This paper cites Proceedings of the National Academy of Sciences , author =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Proceedings of the National Academy of Sciences , author =

Reference 187

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doi, observed 2026-08-02T15:24:01.566624Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-02T15:19:39.945597Z digest=sha256:704d9a4001e2c035b5ffb0f761b2700616dc4b8f61ecf179b196a22689533f65

Observation 1e069a4d-2d6f-4754-835b-259a928d191a · outbound

This paper cites Social Networks , author =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Social Networks , author =

Reference 188

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no resolver link, observed 2026-08-02T15:19:39.947360Z

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source=arxiv_source observed=2026-08-02T15:19:39.947360Z digest=sha256:dd7cf22a91175c3197be77940da05e12a19f8d1d7bad8ddbdce06856efe5b8e2

Observation 1082c6bb-c51a-4038-8885-c0eb5bea2b47 · outbound

This paper cites Link Prediction via Matrix Factorization , isbn =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Link Prediction via Matrix Factorization , isbn =

Reference 189

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verified exact
doi, observed 2026-08-02T15:24:06.323253Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-02T15:19:39.949596Z digest=sha256:e86c6fb53a972de15cf0b3338bb5b64071ec4eb7cef5e0b6f9e7aa1b5c123b07

Observation f859a8cd-3c6c-4bea-9b56-3e18317befcc · outbound

This paper cites Physica A: Statistical Mechanics and its Applications , author =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Physica A: Statistical Mechanics and its Applications , author =

Reference 190

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no resolver link, observed 2026-08-02T15:19:39.951397Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T15:19:39.951397Z digest=sha256:0a1dde56677b4cac131ae6271dc916597262a3b884ad4c578a42538eb8515e99

Observation a15df174-7fda-4d18-a313-dacee7fcb634 · outbound

This paper cites ACM Computing Surveys , author =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges ACM Computing Surveys , author =

Reference 191

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no resolver link, observed 2026-08-02T15:19:39.953362Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T15:19:39.953362Z digest=sha256:4691db9e46560bd50165ddf25efe17de8949ee302ad5684151664cbd9688101e

Observation 71dd1192-eccf-440a-ac3b-c2e442fc4e3c · outbound

This paper cites Jaya and Bhavani, S.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges Jaya and Bhavani, S

Reference 192

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no resolver link, observed 2026-08-02T15:19:39.955128Z

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source=arxiv_source observed=2026-08-02T15:19:39.955128Z digest=sha256:e0b28c5d15b0d6a0fde84f5ee504afee7def2e8de69e6be00f4f2a996bcec4b7

Observation d4618c34-5e2b-442d-baec-64c569cce133 · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems , author =.

A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges IEEE Transactions on Neural Networks and Learning Systems , author =

Reference 193

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no resolver link, observed 2026-08-02T15:19:39.956787Z

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source=arxiv_source observed=2026-08-02T15:19:39.956787Z digest=sha256:7fde938d0565437b674781b013ff60928fc2f8636b725068abd22a1956ff68e4

Pith citing papers

No inbound Pith citation observations are available.