shuaiOKshuai / Tail-GNNLinks
Tail-GNN: Tail-Node Graph Neural Networks
☆34Updated 3 years ago
Alternatives and similar repositories for Tail-GNN
Users that are interested in Tail-GNN are comparing it to the libraries listed below
Sorting:
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- On Generalized Degree Fairness in Graph Neural Networks☆9Updated 2 years ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆58Updated 3 years ago
- ☆38Updated 3 years ago
- The source code of SpCo☆34Updated 2 years ago
- ☆29Updated 3 years ago
- ☆26Updated 2 years ago
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆21Updated 3 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆43Updated 2 years ago
- A pytorch implementation of graph transformer for node classification☆31Updated 2 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆62Updated 2 years ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆33Updated 2 years ago
- Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"☆16Updated 3 years ago
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆68Updated 2 years ago
- code for "Self-supervised representation learning on dynamic graphs"☆27Updated 3 years ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated last year
- A curated list of Heterophilous Graph Self-Supervised Learning papers.☆15Updated 2 years ago
- How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)☆13Updated 2 years ago
- ☆21Updated 8 months ago
- [TNNLS 2022] Code for "Learning Disentangled Graph Convolutional Networks Locally and Globally"☆19Updated last year
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆55Updated 2 years ago
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆54Updated 2 years ago
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated last year
- ☆18Updated 4 months ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆60Updated 2 years ago
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆54Updated 2 years ago
- ☆20Updated 2 years ago
- Source code of "NeurIPS21 - Universal Graph Convolutional Networks"☆20Updated 3 years ago