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Paper Citation Record · LEDGER

Inductive Representation Learning on Temporal Graphs

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 41 inbound Pith citation observations for arXiv:2002.07962.

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

pith.paper-citation-record.v1
2002.07962 v1

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measured 0 of 0 reference resolution

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measured 41 of 41 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 41 of 41 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:01:45.258034Z

measured 0 of 1 external citation measurements

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Source: arxiv_reference, observed 2026-06-30T21:55:06.049818Z

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Outbound references

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Pith citing papers

Observation 9982274f-930a-436c-a6aa-56cf9a33babc · inbound

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges cites this paper.

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges Inductive Representation Learning on Temporal Graphs

Reference 100

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arxiv_id, observed 2026-05-13T02:39:30.028788Z

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Observation 91eac69a-d0ab-4fa2-8afd-130515255138 · inbound

Graph Retention Networks for Dynamic Graphs cites this paper.

Graph Retention Networks for Dynamic Graphs Inductive Representation Learning on Temporal Graphs

Reference 46

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arxiv_id, observed 2026-05-23T17:45:46.151654Z

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Observation cdaeeaf7-21d9-43b0-8bc9-ed5e62e50ab6 · inbound

Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks cites this paper.

Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks Inductive Representation Learning on Temporal Graphs

Reference 35

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Observation eff6ad7f-a429-49c3-a678-e61ac7e25e27 · inbound

Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads cites this paper.

Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads Inductive Representation Learning on Temporal Graphs

Reference 15

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Observation dd4000f2-b072-44f3-8beb-5b5dd4414207 · inbound

CLDG: Contrastive Learning on Dynamic Graphs cites this paper.

CLDG: Contrastive Learning on Dynamic Graphs Inductive Representation Learning on Temporal Graphs

Reference 40

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Observation f0342a95-bdd5-45de-8a0b-61f9dd45379c · inbound

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation cites this paper.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Inductive Representation Learning on Temporal Graphs

Reference 40

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source=arxiv_source observed=2026-08-11T11:21:15.064099Z digest=sha256:723c88e3b722ccdf6f76c7f2ae8ccfa75336f8671d9992a80efd02d729eaef97

Observation 9fa9aaa7-c417-4f63-943d-59f361ada49b · inbound

THeGCN: Temporal Heterophilic Graph Convolutional Network cites this paper.

THeGCN: Temporal Heterophilic Graph Convolutional Network Inductive Representation Learning on Temporal Graphs

Reference 31

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source=pdf_text observed=2026-08-11T10:38:15.955282Z digest=sha256:5da1272ec7dc141110974d9ca751890ba3a6246da9c606718e10c31781add989

Observation 874f0692-96b9-40a3-a1dd-31dd722ff977 · inbound

A Generalizable Anomaly Detection Method in Dynamic Graphs cites this paper.

A Generalizable Anomaly Detection Method in Dynamic Graphs Inductive Representation Learning on Temporal Graphs

Reference 48

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source=arxiv_source observed=2026-08-11T10:37:43.731285Z digest=sha256:3b202076a4f69c1296125a4c0aa391725e9fa6e8a17282c87b4c9133676b6f74

Observation 9bdae44e-b7a6-4a43-96ce-4cf1e3d117a1 · 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 Inductive Representation Learning on Temporal Graphs

Reference 19

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source=arxiv_source observed=2026-08-10T23:21:33.910554Z digest=sha256:b2df602aebd04c2b2514d727d00fa0b0fbfc7373603ebbdc31c9f19dae25752f

Observation 321bf337-7b82-4ec2-a9ae-51e30eeb0c5d · inbound

Multi-source Multi-level Multi-token Ethereum Dataset and Benchmark Platform cites this paper.

Multi-source Multi-level Multi-token Ethereum Dataset and Benchmark Platform Inductive Representation Learning on Temporal Graphs

Reference 8

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Observation 6acc1e9e-f1fc-4697-bda6-a015b547f61b · inbound

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning cites this paper.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Inductive Representation Learning on Temporal Graphs

Reference 55

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Observation eb218a2d-96c8-4591-a620-7ef4ad9d29ea · inbound

Spectro-Riemannian Graph Neural Networks cites this paper.

Spectro-Riemannian Graph Neural Networks Inductive Representation Learning on Temporal Graphs

Reference 50

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source=arxiv_source observed=2026-08-09T19:15:14.760552Z digest=sha256:f3c50c317b5aa775fc522b82f401375815bd73ccebe2dd505c7568fbea2ca50c

Observation 2b97ffa6-dedf-4cbc-a7c6-b074cf05ee5b · inbound

Graph Pseudotime Analysis and Neural Stochastic Differential Equations for Analyzing Retinal Degeneration Dynamics and Beyond cites this paper.

Graph Pseudotime Analysis and Neural Stochastic Differential Equations for Analyzing Retinal Degeneration Dynamics and Beyond Inductive Representation Learning on Temporal Graphs

Reference 6

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Observation 8c0051db-1798-46c8-ac53-c88cff3a75a6 · inbound

Robust Event-Triggered Integrated Communication and Control with Graph Information Bottleneck Optimization cites this paper.

Robust Event-Triggered Integrated Communication and Control with Graph Information Bottleneck Optimization Inductive Representation Learning on Temporal Graphs

Reference 19

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Observation fb82ae34-0947-4168-9c2e-2ca159423917 · inbound

SEP-GCN: Leveraging Similar Edge Pairs with Temporal and Spatial Contexts for Location-Based Recommender Systems cites this paper.

SEP-GCN: Leveraging Similar Edge Pairs with Temporal and Spatial Contexts for Location-Based Recommender Systems Inductive Representation Learning on Temporal Graphs

Reference 2020

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source=pdf_text observed=2026-08-06T23:51:27.914015Z digest=sha256:66816ef3164d92a421637a471d47c197d29e7ecd4ab3c7657322393e6f23d0bd

Observation 0059f42a-9cdf-4a54-84e3-06e3aca0b649 · 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 Inductive Representation Learning on Temporal Graphs

Reference 38

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Observation f66a41e3-f50a-4361-80a0-bfedd08bee3d · 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 Inductive Representation Learning on Temporal Graphs

Reference 17

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Observation d83851f6-1447-40b2-a752-a0cdcb6ef4e0 · inbound

Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks cites this paper.

Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks Inductive Representation Learning on Temporal Graphs

Reference 44

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Observation fb61754c-e3c2-466d-b79e-397ab4d6e3fe · 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 Inductive Representation Learning on Temporal Graphs

Reference 2020

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Observation 01a51cfb-765f-406a-bc92-2e5d23c0ac41 · inbound

Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation cites this paper.

Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation Inductive Representation Learning on Temporal Graphs

Reference 30

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arxiv_id, observed 2026-05-18T23:26:53.946552Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-18T23:26:26.172109Z digest=sha256:46fcf471e94211630b75334e4f3c79101034e6f2f0fb25fb6357ac432403ad6a

Observation 0b901a86-7d4f-4c24-a65d-906ee1afb40d · inbound

CoBAD: Modeling Collective Behaviors for Human Mobility Anomaly Detection cites this paper.

CoBAD: Modeling Collective Behaviors for Human Mobility Anomaly Detection Inductive Representation Learning on Temporal Graphs

Reference 2020

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source=pdf_text observed=2026-08-05T20:40:15.818739Z digest=sha256:0286711f8299b1c4a5c7b19d0f255d9099e09f5758fd825dd1093c23b4f29c1c

Observation 18e76d20-5523-463a-9164-fafd6f3e398d · 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 Inductive Representation Learning on Temporal Graphs

Reference 86

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arxiv_id, observed 2026-05-15T21:31:39.398006Z

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Observation df5e5110-af83-4328-89f9-05987bfbf15d · inbound

DyGnROLE: Asymmetric Pretraining for Edge Classification on Dynamic Graphs cites this paper.

DyGnROLE: Asymmetric Pretraining for Edge Classification on Dynamic Graphs Inductive Representation Learning on Temporal Graphs

Reference 15

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source=pdf_text observed=2026-08-02T20:30:52.467145Z digest=sha256:7d1cc016ad7a628a09df319c11ceada61e3dd1a05de01fcef1c24e8ddffb2fb8

Observation 81d7419b-8ae9-43f2-a2f2-f37dec760042 · inbound

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation cites this paper.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Inductive Representation Learning on Temporal Graphs

Reference 58

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arxiv_id, observed 2026-05-13T17:08:01.146893Z

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Observation 42676555-d772-4192-bc4b-2ed314a5e6e3 · 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 Inductive Representation Learning on Temporal Graphs

Reference 20

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Observation 2ef0c387-b1e0-4395-84c7-482cce8ac541 · inbound

Time-varying Interaction Graph ODE for Dynamic Graph Representation Learning cites this paper.

Time-varying Interaction Graph ODE for Dynamic Graph Representation Learning Inductive Representation Learning on Temporal Graphs

Reference 24

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arxiv_id, observed 2026-05-11T21:41:15.769071Z

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Observation edb0059e-c34e-4484-b263-4b065da4cb3e · inbound

Attention-based graph neural networks: a survey cites this paper.

Attention-based graph neural networks: a survey Inductive Representation Learning on Temporal Graphs

Reference 134

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arxiv_id, observed 2026-05-12T08:26:24.923788Z

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source=arxiv_source observed=2026-05-12T01:07:43.805485Z digest=sha256:25ee73235ff552701e77f4d4175379443555d6364994d1aefa12aac1f6b9e569

Observation 6b1d9e38-2c5f-440b-84c1-6ce60d638b8c · 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 Inductive Representation Learning on Temporal Graphs

Reference 34

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arxiv_id, observed 2026-05-14T19:42:53.572044Z

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Observation 44a04c31-e544-4517-8745-84b536181146 · 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 Inductive Representation Learning on Temporal Graphs

Reference 34

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arxiv_id, observed 2026-05-15T05:49:48.074880Z

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Observation 29c5724d-95d5-468b-87e6-299afb1518ab · 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 Inductive Representation Learning on Temporal Graphs

Reference 34

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arxiv_id, observed 2026-06-30T21:55:06.051566Z

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Observation f3eed0a1-cbb5-4790-ae21-df20f5065f32 · 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 Inductive Representation Learning on Temporal Graphs

Reference 34

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arxiv_id, observed 2026-05-22T06:34:40.765944Z

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Observation 40baa563-1275-4590-8fb6-8481c99413be · 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 Inductive Representation Learning on Temporal Graphs

Reference 33

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Observation 4891886b-533b-427d-a18b-e710717111bc · inbound

CHRONOS: Temporally-Aware Multi-Agent Coordination for Evolving Data Marketplaces cites this paper.

CHRONOS: Temporally-Aware Multi-Agent Coordination for Evolving Data Marketplaces Inductive Representation Learning on Temporal Graphs

Reference 74

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arxiv_id, observed 2026-05-25T02:15:14.196370Z

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Observation 55417d08-4249-4aaf-b1c5-cb480cb4409d · inbound

Dynamic Link Prediction with Temporally Enhanced Signed Graph Neural Networks cites this paper.

Dynamic Link Prediction with Temporally Enhanced Signed Graph Neural Networks Inductive Representation Learning on Temporal Graphs

Reference 19

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arxiv_id, observed 2026-06-29T22:44:01.814857Z

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source=pdf_text observed=2026-06-29T22:35:29.795707Z digest=sha256:c8a1fa2cd86072e54d00905b3fa2d0b7944550c22f126c322fb5691215d3c86d

Observation 75523a94-7738-4828-81f3-8da7a69c1385 · inbound

Learning Dynamic Graph Representations through Timespan View Contrasts cites this paper.

Learning Dynamic Graph Representations through Timespan View Contrasts Inductive Representation Learning on Temporal Graphs

Reference 5

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arxiv_id, observed 2026-06-29T19:03:51.135162Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 2625048d-30a5-407e-ae51-c6bf1a594dfa · 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 Inductive Representation Learning on Temporal Graphs

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:13:30.038970Z

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.

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Observation b52cabff-3a1c-4281-89b5-c9b691e21f1e · 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 Inductive Representation Learning on Temporal Graphs

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:33:15.230063Z

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.

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Observation 0d365fec-20e5-4d98-94a3-866410e5d4bf · inbound

TCAR-Gen: Temporal Graph Retrieval with Evidence Fusion for Knowledge-Grounded Generation cites this paper.

TCAR-Gen: Temporal Graph Retrieval with Evidence Fusion for Knowledge-Grounded Generation Inductive Representation Learning on Temporal Graphs

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-12T20:23:35.141337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d733a91e-601f-463e-b691-aeca49f51983 · inbound

UniSAGE: Unifying Static and Dynamic Attributes with Hyper-Structure cites this paper.

UniSAGE: Unifying Static and Dynamic Attributes with Hyper-Structure Inductive Representation Learning on Temporal Graphs

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-02T14:52:37.898405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6fa94f93-c03f-48f5-82a3-2f8c0a1797f8 · inbound

Scalable and Efficient Joint Spiking Embedding Predictive Architecture for Large-Scale Dynamic Graphs cites this paper.

Scalable and Efficient Joint Spiking Embedding Predictive Architecture for Large-Scale Dynamic Graphs Inductive Representation Learning on Temporal Graphs

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-01T15:32:34.879291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:32:34.879291Z digest=sha256:2d4d5d5d1481e667296adf6f5693f4d443ddf1f1c4e6918793e857e45b256822

Observation 1c7893a3-7f2a-4a40-920d-273839d40a48 · 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 Inductive Representation Learning on Temporal Graphs

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-30T19:16:02.188492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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