Paper List for Fair Graph Learning (FairGL).
☆143Sep 18, 2024Updated last year
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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [CIKM 2023] Towards Fair Graph Neural Networks via Graph Counterfactual.☆14Mar 4, 2025Updated last year
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆64May 7, 2024Updated last year
- Code for paper https://arxiv.org/abs/2102.13186☆42Apr 3, 2021Updated 4 years ago
- A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Informati…☆70Aug 18, 2023Updated 2 years ago
- The repository of "Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark" (KDD'24)☆13Jan 27, 2026Updated last month
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆28Jul 8, 2022Updated 3 years ago
- Open-source datasets for paper "Fairness in Graph Mining: A Survey".☆19Nov 3, 2022Updated 3 years ago
- ☆18Mar 28, 2022Updated 3 years ago
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆50Jun 7, 2020Updated 5 years ago
- A curated collection of adversarial attack and defense on graph data.☆582Nov 7, 2023Updated 2 years ago
- A curated list of resources for OOD detection with graph data.☆19Dec 30, 2023Updated 2 years ago
- Papers and online resources related to machine learning fairness☆75May 11, 2023Updated 2 years ago
- [SIGKDD 2024] Rethinking Fair Graph Neural Networks from Re-balancing☆10Jul 15, 2024Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Oct 25, 2022Updated 3 years ago
- ☆26Jul 22, 2022Updated 3 years ago
- A list of Graph Causal Learning materials.☆210Jan 24, 2025Updated last year
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆89Oct 15, 2024Updated last year
- Papers about out-of-distribution generalization on graphs.☆168Jun 5, 2023Updated 2 years ago
- ☆98Jul 5, 2024Updated last year
- A curated list of graph data augmentation papers.☆311Apr 17, 2024Updated last year
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆44Nov 1, 2023Updated 2 years ago
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆45Nov 13, 2023Updated 2 years ago
- ☆25Jun 27, 2022Updated 3 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Jan 6, 2024Updated 2 years ago
- ☆83Oct 28, 2024Updated last year
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆38Nov 2, 2023Updated 2 years ago
- This is a collection of papers and other resources related to fairness.☆95Nov 9, 2025Updated 4 months ago
- Code for ICLR'2021 paper: On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections☆12Jul 17, 2021Updated 4 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆270Dec 4, 2024Updated last year
- Analysing fairness of graph anomaly detection methods☆12Nov 24, 2024Updated last year
- Papers about explainability of GNNs☆795Mar 5, 2026Updated 2 weeks ago
- [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction☆26May 27, 2022Updated 3 years ago
- Open-source code for ''Individual Fairness for Graph Neural Networks: A Ranking based Approach''.☆12Jul 8, 2022Updated 3 years ago
- Must-read papers on graph foundation models (GFMs)☆363Aug 24, 2025Updated 6 months ago
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆96May 29, 2025Updated 9 months ago
- ☆16Sep 10, 2023Updated 2 years ago
- A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)☆16Nov 14, 2021Updated 4 years ago
- A curated list of adversarial attacks and defenses papers on graph-structured data.☆861Dec 15, 2023Updated 2 years ago
- A Survey of Learning from Graphs with Heterophily☆162Feb 28, 2025Updated last year