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164

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unknown

55

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

pretraining graph-mining pre-training deep-learning machine-learning graph-neural-networks self-supervised-learning graph-self-supervised-learning

Created 2020-05-27

259 commits to master branch, last one 10 months ago

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45

mit

3

[TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".

anomaly-detection contrastive-learning graph-neural-networks graph-anomaly-detection graph-self-supervised-learning

Created 2021-08-09

4 commits to main branch, last one 3 years ago

4

43

unknown

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[ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"

icml-2022 contrastive-learning hard-negative-mining graph-neural-networks graph-self-supervised-learning

Created 2022-05-15

10 commits to main branch, last one 2 years ago

8

39

mit

1

[IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".

Created 2021-01-22

12 commits to main branch, last one 2 years ago

2

36

unknown

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Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily

heterophily heterophily-graph contrastive-learning self-supervised-learning graph-contrastive-learning graph-self-supervised-learning

Created 2023-11-02

19 commits to main branch, last one about a year ago