Paper Citation Record · LEDGER

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size

As of 23 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2509.01541.

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

pith.paper-citation-record.v1
2509.01541 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:31:09.062771Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

42 of 42 outbound references displayed

verified exact4
verified fuzzy23
unresolved14
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2286bb86-d52f-4799-90b2-8ee1819c709d · outbound

This paper cites Towards graph contrastive learning: A survey and beyond, 2024.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Towards graph contrastive learning: A survey and beyond, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.717819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 452628c1-444b-4521-99fb-d82bdabf8631 · outbound

This paper cites Prediction of multi-relational drug–gene interaction via dynamic hypergraph contrastive learning.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Prediction of multi-relational drug–gene interaction via dynamic hypergraph contrastive learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.696442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c8028098-ce0a-472d-9c18-b72fb094137a · outbound

This paper cites Predicting drug–target binding affinity with cross-scale graph contrastive learning.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Predicting drug–target binding affinity with cross-scale graph contrastive learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.665315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 84f55707-3552-4739-807a-a22b4ebb89d8 · outbound

This paper cites Deep single-cell rna-seq data clustering with graph prototypical contrastive learning.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Deep single-cell rna-seq data clustering with graph prototypical contrastive learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.643669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 35c518cc-5d10-4a70-8dab-9fa92c98042b · outbound

This paper cites scgcl: an imputation method for scrna-seq data based on graph contrastive learning.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size scgcl: an imputation method for scrna-seq data based on graph contrastive learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.618152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 95ebf782-6496-477b-bc57-602052f1825c · outbound

This paper cites Towards robust false information detection on social networks with contrastive learning.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Towards robust false information detection on social networks with contrastive learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T12:31:08.766490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65eec639-3557-46b2-8881-ea22aef08401 · outbound

This paper cites Rumor detection on social media with graph adversarial contrastive learning.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Rumor detection on social media with graph adversarial contrastive learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T12:31:08.776412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0584d703-b6df-4a14-b9e1-a98dacb9c22b · outbound

This paper cites A fair comparison of graph neural networks for graph classification.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size A fair comparison of graph neural networks for graph classification

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.593762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 50cfbcf7-e737-483b-ad61-e99477db926a · outbound

This paper cites Kriege, Franka Bause, Kristian Kersting, Petra Mutzel, and Marion Neumann.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Kriege, Franka Bause, Kristian Kersting, Petra Mutzel, and Marion Neumann

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.566922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b1887fb5-a045-4876-a62f-aa9ffa1e8dcb · outbound

This paper cites an unresolved cited work.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-05T12:31:10.542209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a84b482d-5901-4772-a8d0-94b62d0c2d7b · outbound

This paper cites Graph contrastive learning with reinforcement augmentation.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Graph contrastive learning with reinforcement augmentation

Reference 11

Resolution: verified exact; doi, observed 2026-08-05T12:31:09.194333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fd5cfb03-046f-4605-a66b-65f62c10f9b6 · outbound

This paper cites Multi-scale subgraph con- trastive learning.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Multi-scale subgraph con- trastive learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T12:31:08.831072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4475b4f4-fb5c-4f2b-8ca7-9490796ca2fe · outbound

This paper cites Graph contrastive learning with cohesive subgraph awareness.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Graph contrastive learning with cohesive subgraph awareness

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T12:31:08.844178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e29979a7-f0c1-4d53-a04d-d1ccdd7c08fa · outbound

This paper cites Khan-gcl: Kolmogorov-arnold network based graph contrastive learning with hard negatives, 2025.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Khan-gcl: Kolmogorov-arnold network based graph contrastive learning with hard negatives, 2025

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.522116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8b762fef-d104-49b7-8ffc-b9aa1aafee2c · outbound

This paper cites Open graph benchmark: Datasets for machine learning on graphs.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Open graph benchmark: Datasets for machine learning on graphs

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.502167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b30aa8f5-4272-44ed-90d1-e5a0685f3d13 · outbound

This paper cites Feinberg, Joseph Gomes, Caleb Geniesse, Aneesh S.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Feinberg, Joseph Gomes, Caleb Geniesse, Aneesh S

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T12:31:08.871587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45e7b662-9ebc-4b38-aba1-2ff791805f07 · outbound

This paper cites Thiagara- jan.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Thiagara- jan

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.472772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 526c92e9-6d2c-4afe-ba9b-6fdf9a1f6cdc · outbound

This paper cites Aug- mentations in graph contrastive learning: Current methodological flaws & towards better practices.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Aug- mentations in graph contrastive learning: Current methodological flaws & towards better practices

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T12:31:08.886286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c6e193e-e6ee-4495-8075-34027d1a1cf8 · outbound

This paper cites A simple yet effective baseline for non-attributed graph classification,.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size A simple yet effective baseline for non-attributed graph classification,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.440933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6701c5fa-126b-4292-92ca-670279373f1b · outbound

This paper cites Benchmarking and analyzing unsupervised network represen- tation learning and the illusion of progress.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Benchmarking and analyzing unsupervised network represen- tation learning and the illusion of progress

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.417824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8105633b-19f6-49d0-ac50-d6a942b710b8 · outbound

This paper cites Graph contrastive learning with augmentations.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Graph contrastive learning with augmentations

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.396749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8530fd5d-f4fc-477b-b44f-3ae987ef4c7f · outbound

This paper cites Graph contrastive learning automated.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Graph contrastive learning automated

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.368007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 29124fd0-2941-4052-9f74-3e017fb49bbd · outbound

This paper cites an unresolved cited work.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T12:31:08.933199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbd29222-8d5c-4bbf-816c-c9c5777366f5 · outbound

This paper cites Infograph: Unsupervised and semi-supervised graph-level representation learning via mutual information maximization.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Infograph: Unsupervised and semi-supervised graph-level representation learning via mutual information maximization

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.346878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5fe2cae9-e839-4563-b118-d75c44fa9672 · outbound

This paper cites How powerful are graph neural networks? In International Conference on Learning Representations, 2019.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size How powerful are graph neural networks? In International Conference on Learning Representations, 2019

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.323322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 955bc88a-b370-41cc-b304-69e878c20ae5 · outbound

This paper cites Rethinking the effective- ness of graph classification datasets in benchmarks for assessing gnns.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Rethinking the effective- ness of graph classification datasets in benchmarks for assessing gnns

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.297238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0c8d72d3-d11f-4fb7-b5e2-6e2da7c89f36 · outbound

This paper cites An empirical study of graph contrastive learning.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size An empirical study of graph contrastive learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.263060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e2f68986-f040-4d71-b5c0-ad52d0ae85fa · outbound

This paper cites Strategies for pre-training graph neural networks.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Strategies for pre-training graph neural networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.237585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a8b7d64b-c341-4263-9b58-16b720dd3cf6 · outbound

This paper cites URL https://doi.org/10.24963/ijcai.2024/237.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size URL https://doi.org/10.24963/ijcai.2024/237

Reference 29

Resolution: verified exact; doi, observed 2026-08-05T12:31:09.143604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 64d47122-b484-4d9b-9791-3093c00865b1 · outbound

This paper cites an unresolved cited work.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-05T12:31:10.185363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c4995689-acde-4bd5-a084-43f227fa55d6 · outbound

This paper cites Lenssen, and Jure Leskovec.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Lenssen, and Jure Leskovec

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.165271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5d6ba2df-3a40-4f68-94f0-b948c30991a3 · outbound

This paper cites Architecture matters: Uncovering implicit mechanisms in graph contrastive learning.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Architecture matters: Uncovering implicit mechanisms in graph contrastive learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.209474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 87a5b204-0904-4104-acd3-295318f09829 · outbound

This paper cites Borgwardt.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Borgwardt

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.142771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5b59948b-6955-4499-b1df-362806f52196 · outbound

This paper cites Vishwanathan.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Vishwanathan

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T12:31:09.023878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6da015a5-97af-4993-b9da-bf1dbf736452 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Representation Learning with Contrastive Predictive Coding

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T12:31:09.009593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd6e3701-1d33-44d3-916a-f36571d1d8e7 · outbound

This paper cites node2vec: Scalable feature learning for networks.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size node2vec: Scalable feature learning for networks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T12:31:09.039110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 936765d1-3011-4083-a256-c1d483353e4f · outbound

This paper cites graph2vec: Learning Distributed Representations of Graphs.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size graph2vec: Learning Distributed Representations of Graphs

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T12:31:09.045658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b8e69a9-4bde-457f-ab86-b19a2182d922 · outbound

This paper cites Aditya Prakash.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Aditya Prakash

Reference 38

Resolution: verified exact; doi, observed 2026-08-05T12:31:09.122907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e0a1c5e2-db65-493f-921f-0fda29cdd07f · outbound

This paper cites Kingma and Jimmy Ba.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size Kingma and Jimmy Ba

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:31:10.115460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dc3eb785-2f5a-4e75-9387-548fa5411b5b · outbound

This paper cites GCL learns node- or graph-level representations by contrasting positive and negative views generated from the data itself [1].

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size GCL learns node- or graph-level representations by contrasting positive and negative views generated from the data itself [1]

Reference 2015

Resolution: malformed identifier; raw_fallback, observed 2026-08-05T12:31:10.081496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fff4d1a7-04f0-46d2-b100-e13ef1d1ea78 · outbound

This paper cites A simple yet effective baseline for non-attributed graph classification.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size A simple yet effective baseline for non-attributed graph classification

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-05T12:31:08.904576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56c277de-db1c-4582-b4a6-28646e4518ed · outbound

This paper cites URL https://ojs.aaai.org/index.php/AAAI/ article/view/29026.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size URL https://ojs.aaai.org/index.php/AAAI/ article/view/29026

Reference 2024

Resolution: verified exact; doi, observed 2026-08-05T12:31:09.218254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.