BUPT-GAMMA / GCILLinks
Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective
☆26Updated last year
Alternatives and similar repositories for GCIL
Users that are interested in GCIL are comparing it to the libraries listed below
Sorting:
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆37Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23☆30Updated last year
- The implementation for DropMessage.☆37Updated 2 years ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated 2 years ago
- ☆49Updated 2 years ago
- [WWW2024 Oral paper] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆26Updated 9 months ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆42Updated 2 years ago
- [CIKM 2023] Code for the paper "LTE4G: Long-Tail Experts for Graph Neural Networks"☆40Updated 2 years ago
- ☆38Updated 3 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- On Generalized Degree Fairness in Graph Neural Networks☆9Updated 2 years ago
- The source code of SpCo☆35Updated 2 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆84Updated 8 months ago
- LHGNN: Link Prediction on Latent Heterogeneous Graphs☆10Updated 2 years ago
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆23Updated 2 years ago
- The implementation for DropMessage.☆24Updated 2 years ago
- [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆17Updated 9 months ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆65Updated last year
- Heterogeneous Graph Contrastive Multi-view Learning, SDM 23☆23Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆55Updated last year
- Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homo…☆21Updated 8 months ago
- KDD'22☆64Updated 2 years ago
- ☆19Updated 6 months ago
- Awesome literature on imbalanced learning on graphs☆75Updated 10 months ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆60Updated last year
- Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.☆38Updated last year
- ☆18Updated last year
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆17Updated last year
- Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"☆17Updated 3 years ago