Sungwon-Han / DualFairLinks
☆14Updated 3 years ago
Alternatives and similar repositories for DualFair
Users that are interested in DualFair are comparing it to the libraries listed below
Sorting:
- Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"☆23Updated 3 years ago
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆28Updated 3 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Updated 5 years ago
- Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.☆21Updated 4 years ago
- Open-source datasets for paper "Fairness in Graph Mining: A Survey".☆19Updated 3 years ago
- The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation …☆77Updated 4 years ago
- ☆57Updated 2 years ago
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆42Updated 3 years ago
- [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction☆26Updated 3 years ago
- Code for paper "Mixup for Node and Graph Classification", WWW 2021☆47Updated 4 years ago
- source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".☆28Updated last year
- Graph Trend Filtering Networks for Recommendations, SIGIR'2022☆27Updated 3 years ago
- This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".☆22Updated 4 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆75Updated 3 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆65Updated 2 years ago
- A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Informati…☆70Updated 2 years ago
- ☆41Updated 2 years ago
- List of Publications in Graph Contrastive Learning☆34Updated 3 years ago
- Contrastive Learning with Model Augmentation☆18Updated 3 years ago
- Analysing fairness of graph anomaly detection methods☆12Updated last year
- Topology Distillation for Recommender System (KDD'21)☆13Updated 4 years ago
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆19Updated 2 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆49Updated 3 years ago
- The official pytorch implementation of Propagation_then_Training for graph (https://arxiv.org/abs/2010.12408)☆26Updated 4 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆70Updated 2 years ago
- ☆42Updated 2 years ago
- Contrastive Graph Structure Learning via Information Bottleneck for Recommendation☆29Updated 3 years ago
- Official implementation of our FLAG paper (CVPR2022)☆144Updated 3 years ago
- GFL for AAAI 2020☆31Updated 5 years ago
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆32Updated 4 years ago