Paper Citation Record · LEDGER

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift

As of 4 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2512.00716.

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

pith.paper-citation-record.v1
2512.00716 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T03:39:47.784096Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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verified fuzzy39
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External citation measurements

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Outbound references

Observation 50232de2-f170-4b03-b6ec-5376102e3a68 · outbound

This paper cites Wasserstein generative adversarial networks.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Wasserstein generative adversarial networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.395934Z

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Observation 929a9d92-07ce-4b07-8f81-8b87bbdc5766 · outbound

This paper cites Invariant Risk Minimization.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Invariant Risk Minimization

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-17T03:41:29.275985Z

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Observation 5c7a895b-86a8-4f78-bf15-4f3980953081 · outbound

This paper cites Bipartite graph embedding via mutual information max- imization.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Bipartite graph embedding via mutual information max- imization

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.373335Z

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Observation 3fed756f-ebf7-4f3f-99e0-dc88cda45eb1 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift A simple framework for contrastive learning of visual representations

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.346661Z

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Observation f8a04cdd-1aa9-4fc4-8114-ed41827c834a · outbound

This paper cites Learning causally invariant representations for out-of-distribution generaliza- tion on graphs.Advances in Neural Information Processing Systems, 35:22131–22148.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Learning causally invariant representations for out-of-distribution generaliza- tion on graphs.Advances in Neural Information Processing Systems, 35:22131–22148

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.398940Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9fcdcc0c-a46c-4d6f-8832-a5009cf3e0a0 · outbound

This paper cites Does invariant graph learning via environment augmentation learn invariance?Advances in Neural Information Processing Systems, 36.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Does invariant graph learning via environment augmentation learn invariance?Advances in Neural Information Processing Systems, 36

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.385313Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a679b16a-8b0c-4616-9e53-469b7f689125 · outbound

This paper cites GOOD:Agraph out-of-distribution benchmark.Advances in Neural Information Processing Systems, 35:2059–2073.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift GOOD:Agraph out-of-distribution benchmark.Advances in Neural Information Processing Systems, 35:2059–2073

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.380406Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 17db28ac-0a8e-4c01-a261-ae7d54c7006f · outbound

This paper cites G-Mixup: Graph data augmentation for graph classification.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift G-Mixup: Graph data augmentation for graph classification

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.343638Z

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Observation 8b07aa6e-9731-4da5-9015-90103c1c3cf8 · outbound

This paper cites Open graph benchmark: Datasets for machine learning on graphs.Advances in neural information processing systems, 33:22118–22133.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Open graph benchmark: Datasets for machine learning on graphs.Advances in neural information processing systems, 33:22118–22133

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.360519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 04302d78-38cd-4095-aed1-f615d6e79d93 · outbound

This paper cites Invariant information clusteringforunsupervisedimageclassificationandsegmentation.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Invariant information clusteringforunsupervisedimageclassificationandsegmentation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.414163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d8470e7d-5d53-4ac5-bb4a-8970e79e6866 · outbound

This paper cites Sub-graphcontrastforscalableself-supervisedgraph representation learning.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Sub-graphcontrastforscalableself-supervisedgraph representation learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.416801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5474ce76-177c-42cf-9e1b-042a4b1aacf5 · outbound

This paper cites Unsupervised graph-level representation learning with hierarchical contrasts.Neural Networks, 158:359–368.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Unsupervised graph-level representation learning with hierarchical contrasts.Neural Networks, 158:359–368

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.335577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 52b3bf05-1c4d-4c1b-ae42-5e11dd9b25ab · outbound

This paper cites Towards Graph Contrastive Learning: A Survey and Beyond.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Towards Graph Contrastive Learning: A Survey and Beyond

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-17T03:41:29.272515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 436d9a62-7d93-44a7-9e13-75168a0786e5 · outbound

This paper cites Robust op- timization as data augmentation for large-scale graphs.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Robust op- timization as data augmentation for large-scale graphs

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.341189Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f7ebf8fe-cf4c-489c-83fa-235978aea845 · outbound

This paper cites Out-of-distribution generalization via risk extrapolation.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Out-of-distribution generalization via risk extrapolation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.392873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c7ac6474-c294-45d8-9534-922d27328077 · outbound

This paper cites Inthe ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pages 1069–1078.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Inthe ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pages 1069–1078

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.387433Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a8626ea8-bb60-4011-bc56-4fa6445a03e1 · outbound

This paper cites B2-sampling: Fusing balanced and biased sampling for graph contrastive learning.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift B2-sampling: Fusing balanced and biased sampling for graph contrastive learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.366424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 412ab617-8625-4521-8148-c74c0eb728ab · outbound

This paper cites Multi-Scale Subgraph Contrastive Learning.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Multi-Scale Subgraph Contrastive Learning

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-17T03:41:29.281852Z

Source-reported events for the cited work

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Observation 7a837618-dffc-46e6-8168-fd795931351a · outbound

This paper cites Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-17T03:41:29.293393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d6952a22-432e-450c-9caa-1910fb542431 · outbound

This paper cites Interpretable and generalizable graph learning via stochastic attention mechanism.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Interpretable and generalizable graph learning via stochastic attention mechanism

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.323144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fe476d4b-9470-455a-b0fa-5176c2c99181 · outbound

This paper cites Gcc: Graph contrastive coding for graph neural network pre-training.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Gcc: Graph contrastive coding for graph neural network pre-training

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.365772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 321ce79b-2a5a-4803-8b88-0c6114bb8d07 · outbound

This paper cites DropEdge: Towards deep graph convolutional networks on node F.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift DropEdge: Towards deep graph convolutional networks on node F

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.382043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7eadbe13-0016-43a2-bfb2-fba13d659fe6 · outbound

This paper cites Distributionally robust neural networks for group shifts: On the importance of regularization for worst-case generalization.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Distributionally robust neural networks for group shifts: On the importance of regularization for worst-case generalization

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.372246Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a5a43f39-9b8d-47e9-8100-61c00d0a244a · outbound

This paper cites Facenet:A unified embedding for face recognition and clustering.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Facenet:A unified embedding for face recognition and clustering

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.377698Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 933eb06e-f4d1-4d99-b496-40dd61d39f3b · outbound

This paper cites Causal attention for interpretable and generalizable graph classification.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Causal attention for interpretable and generalizable graph classification

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.342362Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4c06495c-09cc-4519-a439-abc90fb06b66 · outbound

This paper cites Unleashingthepowerofgraph dataaugmentationoncovariatedistributionshift.Advances in Neural Information Processing Systems, 36.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Unleashingthepowerofgraph dataaugmentationoncovariatedistributionshift.Advances in Neural Information Processing Systems, 36

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.349902Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0bfd3575-7922-4b9b-88fc-ade12cc09bb8 · outbound

This paper cites In the Web Conference, pages 2081–2091.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift In the Web Conference, pages 2081–2091

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.382755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7429fab6-a62a-4759-b1a7-a68558c83ec6 · outbound

This paper cites Adversarial graphaugmentationtoimprovegraphcontrastivelearning.Advances in Neural Information Processing Systems, 34:15920–15933.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Adversarial graphaugmentationtoimprovegraphcontrastivelearning.Advances in Neural Information Processing Systems, 34:15920–15933

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.411558Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4eeb3341-a43c-45f5-86bb-b11f39e938a4 · outbound

This paper cites Hierarchicallycontrastivehardsampleminingforgraph self-supervised pretraining.IEEE Transactions on Neural Networks and Learning Systems.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Hierarchicallycontrastivehardsampleminingforgraph self-supervised pretraining.IEEE Transactions on Neural Networks and Learning Systems

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.370940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2812180c-3886-48c9-a50f-127fd5858a22 · outbound

This paper cites A survey on semi- supervised learning.Machine learning, 109(2):373–440.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift A survey on semi- supervised learning.Machine learning, 109(2):373–440

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.389885Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5f53057e-d7c6-483a-8e2c-6deaaa3c7c17 · outbound

This paper cites Graph attention networks.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Graph attention networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.305387Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 59534cde-639c-4ae0-9c30-25f103f4e7de · outbound

This paper cites Hamilton, Pietro Liò, Yoshua Bengio, and R.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Hamilton, Pietro Liò, Yoshua Bengio, and R

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.387652Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 063d260b-3269-4612-9307-5474b88c0abb · outbound

This paper cites How powerful are spectral graph neural networks.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift How powerful are spectral graph neural networks

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.329224Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4b770946-6e3a-4896-99d7-2e258859cceb · outbound

This paper cites Handling distribution shifts on graphs: An invariance perspective.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Handling distribution shifts on graphs: An invariance perspective

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.390159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 76cc98d7-a1f9-4462-8ad3-f71ae6bc2c9d · outbound

This paper cites Discovering invariant rationales for graph neural networks.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Discovering invariant rationales for graph neural networks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.395674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a1c1227d-0bbe-4cdd-aeff-4cba8e62b576 · outbound

This paper cites MoleculeNet:abenchmarkformolecularmachinelearning.Chemical science, 9(2):513–530.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift MoleculeNet:abenchmarkformolecularmachinelearning.Chemical science, 9(2):513–530

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.316209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 83fc1d44-a0cc-4230-b2b8-6d54b674364d · outbound

This paper cites Graph neuralnetworksareinherentlygoodgeneralizers:Insightsbybridging gnns and mlps.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Graph neuralnetworksareinherentlygoodgeneralizers:Insightsbybridging gnns and mlps

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.368995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e9671375-b714-4106-b6de-45ae44e4744e · outbound

This paper cites Learning substructure invariance for out-of-distribution molec- ular representations.Advances in Neural Information Processing Systems, 35:12964–12978.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Learning substructure invariance for out-of-distribution molec- ular representations.Advances in Neural Information Processing Systems, 35:12964–12978

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.338448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6c233052-a45b-4bec-b5fe-74db9fc87713 · outbound

This paper cites Graph contrastive learning with augmenta- tions.Advances in neural information processing systems, 33:5812– 5823.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Graph contrastive learning with augmenta- tions.Advances in neural information processing systems, 33:5812– 5823

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.392568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ff4e1043-1d45-44ba-95af-f01bd8ba2570 · outbound

This paper cites Graph contrastive learning automated.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Graph contrastive learning automated

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.357138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 34344dea-a03a-4716-89da-84e7204a8552 · outbound

This paper cites Motif-driven contrastive learning of graph representations.IEEE Transactions on Knowledge and Data Engineering.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Motif-driven contrastive learning of graph representations.IEEE Transactions on Knowledge and Data Engineering

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.408495Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f1110b06-71db-41f2-9bcd-9a99479872d3 · outbound

This paper cites Contrastive cross-scale graph knowledge synergy.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Contrastive cross-scale graph knowledge synergy

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.403129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7404baf7-dd61-4424-bb2d-69daf4c53b24 · outbound

This paper cites Deep Graph Contrastive Representation Learning.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Deep Graph Contrastive Representation Learning

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-17T03:41:29.287785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 30e3556f-8d11-4906-989c-c828e88d9511 · outbound

This paper cites Graphcontrastivelearningwithadaptiveaugmentation.

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Graphcontrastivelearningwithadaptiveaugmentation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:41:29.405805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

No inbound Pith citation observations are available.