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165

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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 4 months ago

7

43

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 2 years ago

3

41

unknown

1

[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

2

26

unknown

1

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 7 months ago