hedongxiao-tju / HOG-GCN
☆37Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for HOG-GCN
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆31Updated 2 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆42Updated 2 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆26Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆49Updated last year
- Awesome literature on imbalanced learning on graphs☆66Updated last month
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year
- The implementation for DropMessage.☆35Updated last year
- The source code of SpCo☆33Updated last year
- Tail-GNN: Tail-Node Graph Neural Networks☆33Updated 3 years ago
- Code for GBK-GNN (paper accepted by WWW2022)☆15Updated 2 years ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆32Updated 2 years ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆46Updated last year
- ☆37Updated last year
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆35Updated last year
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆58Updated 3 years ago
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated 7 months ago
- ☆24Updated 2 years ago
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆37Updated 7 months ago
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆25Updated 3 years ago
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆30Updated 4 months ago
- A collection of papers on Graph Structural Learning (GSL)☆50Updated 10 months ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆45Updated 3 years ago
- NeurIPS 2022 - SHGP☆29Updated last year
- [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"☆41Updated 2 years ago
- ☆17Updated 6 months ago
- This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆13Updated last year
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆31Updated 2 years ago
- Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"☆17Updated 2 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆43Updated 10 months ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆54Updated 3 years ago