graph-contrastive-learning

There are 25 repositories under graph-contrastive-learning topic.

  • PyGCL/PyGCL

    PyGCL: A PyTorch Library for Graph Contrastive Learning

    Language:Python91984796

  • HKUDS/LightGCL

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

    Language:Python18052716

  • CRIPAC-DIG/GCA

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

    Language:Python1683924

  • HKUDS/HGCL

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

    Language:Python10541713

  • junxia97/SimGRACE

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

    Language:Python79136

  • FelixDJC/GRADATE

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

    Language:Python51155

  • yifeiacc/COSTA

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

    Language:Python48344

  • lsh0520/RGCL

    Ratioanle-aware Graph Contrastive Learning codebase

    Language:Python40292

  • tengxiao1/Awesome-Graph-Contrastive-Learning-with-Heterophily

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

    36102

  • EdisonLeeeee/SpikeGCL

    [ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)

    Language:Python29313

  • tengxiao1/GraphACL

    GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)

    Language:Python29143

  • JarenceSJ/ReviewGraph

    [SIGIR 2022] A Review-aware Graph Contrastive Learning Framework for Recommendation

    Language:Python23156

  • CRIPAC-DIG/GETRAL

    The source code of "Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks

    Language:Python21134

  • graphprojects/CM-GCL

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

    Language:Python20202

  • kunzhan/M-ILBO

    ACM MM 2023 (Oral): Entropy neural estimation for graph contrastive learning

    Language:Python19210

  • zxlearningdeep/InfoMGF

    [NeurIPS'24] The source code for "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".

    Language:Python17221

  • CRIPAC-DIG/AUG-MAE

    Code for AAAI'24 paper "Rethinking Graph Masked Autoencoders through Alignment and Uniformity”.

    Language:Python13221

  • EdisonLeeeee/MAGI

    [KDD 2024] Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective

    Language:Python1120

  • ImMohammadHosseini/HeCo

    :sparkles: Implementation of Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning with pytorch and PyG

    Language:Python8200

  • mala-lab/AUGCL

    Official code for TNNLS paper "Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning"

    Language:Python6102

  • EdisonLeeeee/lrGAE

    A comprehensive (masked) graph autoencoders benchmark.

    Language:Python5110

  • kaddly/MoGCL

    Momentum Graph Contrastive Learning

    Language:Python1100

  • LirongWu/GSSC

    Code for TNNLS paper "Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting"

    Language:Python1

  • XsLangley/Violin-IJCAI2023

    This is the code repo for Violin, an IJCAI 2023 paper.

    Language:Python1100

  • ImMohammadHosseini/self-supervized-graph-embeddings

    10