EdisonLeeeee / Awesome-Fair-Graph-LearningLinks
Paper List for Fair Graph Learning (FairGL).
☆138Updated 8 months ago
Alternatives and similar repositories for Awesome-Fair-Graph-Learning
Users that are interested in Awesome-Fair-Graph-Learning are comparing it to the libraries listed below
Sorting:
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆63Updated last year
- A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Informati…☆65Updated last year
- ☆26Updated last month
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆27Updated 2 years ago
- Code for paper https://arxiv.org/abs/2102.13186☆44Updated 4 years ago
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆85Updated 7 months ago
- ☆26Updated 2 years ago
- Papers about out-of-distribution generalization on graphs.☆167Updated 2 years ago
- ☆24Updated 2 years ago
- ☆25Updated 2 years ago
- ☆57Updated 6 months ago
- [ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"☆138Updated 7 months ago
- This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (G…☆23Updated 2 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆122Updated 2 years ago
- A collection of graph data used for semi-supervised node classification.☆39Updated 2 years ago
- The source code of SpCo☆34Updated 2 years ago
- ☆176Updated last year
- ☆54Updated 8 months ago
- The repository of "Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark" (KDD'24)☆11Updated 7 months ago
- ☆18Updated 3 years ago
- A curated list of publications and code about data augmentaion for graphs.☆63Updated 2 years ago
- Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)☆19Updated 2 years ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆32Updated 6 months 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 "Self-supervised representation learning on dynamic graphs"☆27Updated 3 years ago
- Benchmark☆98Updated last year
- Data repository for PyGOD☆41Updated last year
- Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…☆95Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆116Updated 2 years ago
- Open-source datasets for paper "Fairness in Graph Mining: A Survey".☆18Updated 2 years ago