There are 5 repositories under graph-contrastive-learning topic.
[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
[ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)
[SIGIR 2022] A Review-aware Graph Contrastive Learning Framework for Recommendation
The source code of "Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks
Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”
Code for AAAI'24 paper "Rethinking Graph Masked Autoencoders through Alignment and Uniformity”.
:sparkles: Implementation of Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning with pytorch and PyG
[KDD 2024] Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective
The repository contains a reading list for graph learning.
This is the code repo for Violin, an IJCAI 2023 paper.
The repository contains a reading list for action recognition.