graph-contrastive-learning topic

PyGCL: A PyTorch Library for Graph Contrastive Learning

PyGCL

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

CRIPAC-DIG

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

junxia97

An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted by AAAI 2023.

FelixDJC

Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning

yifeiacc

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

[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"

HKUDS

[WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"

HKUDS

Ratioanle-aware Graph Contrastive Learning codebase

lsh0520