joymallyac / Fair-SMOTELinks
GitHub repo for FSE 2021 Paper - ``Bias in Machine Learning Software: Why? How? What to do?''
☆15Updated 3 years ago
Alternatives and similar repositories for Fair-SMOTE
Users that are interested in Fair-SMOTE are comparing it to the libraries listed below
Sorting:
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆27Updated 2 years ago
- ☆14Updated 3 years ago
- Open-source datasets for paper "Fairness in Graph Mining: A Survey".☆18Updated 2 years ago
- Code for paper: Are Large Language Models Post Hoc Explainers?☆31Updated 10 months ago
- DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks☆20Updated 2 years ago
- ☆26Updated last month
- FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.☆28Updated last year
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆48Updated last year
- Code for ICLR'2021 paper: On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections☆12Updated 3 years 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
- A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.☆35Updated 3 months ago
- Code for Transformed Distribution Matching (TDM) for Missing Value Imputation, ICML 2023☆14Updated last year
- A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Informati…☆65Updated last year
- Code for paper https://arxiv.org/abs/2102.13186☆44Updated 4 years ago
- ☆18Updated 3 years ago
- ☆25Updated 2 years ago
- Papers and online resources related to machine learning fairness☆72Updated 2 years ago
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆42Updated last year
- Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)☆48Updated last year
- An awesome collection of causality-inspired graph neural networks.☆77Updated 6 months ago
- ☆22Updated 6 years ago
- ☆9Updated 2 years ago
- [CIKM 2023] Towards Fair Graph Neural Networks via Graph Counterfactual.☆13Updated 3 months ago
- This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".☆22Updated 3 years ago
- ☆13Updated 2 years ago
- Source code and additional results for GLOD issues☆12Updated 2 years ago
- The code for paper "Cross Platforms Linguals and Models Social Bot Detection via Federated Adversarial Contrastive Knowledge Distillation…☆19Updated 2 years ago
- Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.☆21Updated 4 years ago
- A collection of algorithms of counterfactual explanations.☆50Updated 4 years ago
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago