This is the code repo for Violin, an IJCAI 2023 paper.
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Updated
Aug 15, 2023 - Python
This is the code repo for Violin, an IJCAI 2023 paper.
Momentum Graph Contrastive Learning
A comprehensive (masked) graph autoencoders benchmark.
Official code for TNNLS paper "Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning"
[KDD 2024] Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective
✨ Implementation of Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning with pytorch and PyG
Code for AAAI'24 paper "Rethinking Graph Masked Autoencoders through Alignment and Uniformity”.
ACM MM 2023 (Oral): Entropy neural estimation for graph contrastive learning
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”
[SIGIR 2022] A Review-aware Graph Contrastive Learning Framework for Recommendation
[ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)
GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)
Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
Ratioanle-aware Graph Contrastive Learning codebase
Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted by AAAI 2023.
[WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
[WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
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