jindi-tju / T2-GNN
Source code for AAAI2023 "T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation"
☆11Updated last year
Related projects: ⓘ
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆23Updated 6 months ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆47Updated last year
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆46Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆44Updated 8 months ago
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆35Updated 6 months ago
- The official source code for Task-Equivariant Graph Few-shot Learning (TEG) at KDD 2023.☆23Updated 9 months ago
- PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)☆21Updated last year
- The official source code for "LTE4G: Long-Tail Experts for Graph Neural Networks" paper, accepted at CIKM 2022.☆37Updated 2 years ago
- ☆24Updated 2 years ago
- A curated list of papers on graph transfer learning (GTL).☆13Updated 10 months ago
- This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Lea…☆17Updated last year
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆41Updated 2 years ago
- Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"☆16Updated 2 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆26Updated last year
- ☆37Updated 2 years ago
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆13Updated last year
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆30Updated 2 months ago
- A pytorch implementation of graph transformer for node classification☆28Updated last year
- NeurIPS 2022 - SHGP☆29Updated last year
- This repo is for source code of SDM 2023 paper "Heterogeneous Graph Contrastive Multi-view Learning".☆18Updated last year
- The source code of SpCo☆31Updated last year
- [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"☆41Updated 2 years ago
- [TNNLS 2022] Code for "Learning Disentangled Graph Convolutional Networks Locally and Globally"☆19Updated 9 months ago
- ☆17Updated last year
- The official source code for Similarity Preserving Adversarial Graph Contrastive Learning (SP-AGCL) at KDD 2023.☆22Updated 8 months ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year
- Pytorch implementation of "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes"☆17Updated 2 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆42Updated 8 months ago
- Source code of "NeurIPS21 - Universal Graph Convolutional Networks"☆19Updated 2 years ago
- ☆26Updated 2 years ago