wenzhilics / HomoGCL
"HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23
☆12Updated last year
Alternatives and similar repositories for HomoGCL:
Users that are interested in HomoGCL are comparing it to the libraries listed below
- ☆15Updated 2 years ago
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆16Updated last year
- Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"☆15Updated last year
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆30Updated 9 months ago
- Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”☆20Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆50Updated 2 years ago
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated 11 months ago
- [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"☆45Updated 2 years ago
- Code for GBK-GNN (paper accepted by WWW2022)☆15Updated 2 years ago
- KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs☆18Updated 8 months ago
- The code for "SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization"☆10Updated 2 years ago
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆32Updated 3 years ago
- This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Lea…☆17Updated 2 years ago
- Source code of "NeurIPS21 - Universal Graph Convolutional Networks"☆20Updated 3 years ago
- Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)☆18Updated last year
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆43Updated 2 years ago
- ☆11Updated last year
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆33Updated last year
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Updated 2 years ago
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Updated 2 years ago
- How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)☆12Updated 2 years ago
- ☆12Updated last year
- ☆20Updated 2 years ago
- The pytorch implementation of ClusterSCL (WWW2022).☆15Updated last year
- Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homo…☆19Updated 3 months ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated 2 years ago
- NeurIPS 2022 - SHGP☆30Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- Graph Trend Filtering Networks for Recommendations, SIGIR'2022☆25Updated 2 years ago