graph-self-supervised-learning topic

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

ChandlerBang

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

junxia97

[WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"

junxia97

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

TrustAGI-Lab

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

KimMeen

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

tengxiao1

Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”

graphprojects

Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction"

LirongWu