Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms
☆65May 7, 2024Updated last year
Alternatives and similar repositories for PyGDebias
Users that are interested in PyGDebias are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Open-source datasets for paper "Fairness in Graph Mining: A Survey".☆19Nov 3, 2022Updated 3 years ago
- Paper List for Fair Graph Learning (FairGL).☆143Sep 18, 2024Updated last year
- ☆18Mar 28, 2022Updated 4 years ago
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆28Jul 8, 2022Updated 3 years ago
- Code for paper https://arxiv.org/abs/2102.13186☆41Apr 3, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- The repository of "Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark" (KDD'24)☆13Jan 27, 2026Updated 2 months ago
- ☆26Jul 22, 2022Updated 3 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
- Open-source code for ''Graph Neural Networks with Adaptive Frequency Response Filter''.☆25Jul 8, 2022Updated 3 years ago
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆17Oct 1, 2023Updated 2 years ago
- Analysing fairness of graph anomaly detection methods☆12Nov 24, 2024Updated last year
- ☆14Dec 13, 2021Updated 4 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Oct 25, 2022Updated 3 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆270Dec 4, 2024Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Papers and online resources related to machine learning fairness☆74May 11, 2023Updated 2 years ago
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆50Jun 7, 2020Updated 5 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Jan 6, 2024Updated 2 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆66Jun 23, 2023Updated 2 years ago
- Multi-label Node Classification☆14Jun 3, 2024Updated last year
- [CIKM 2023] Towards Fair Graph Neural Networks via Graph Counterfactual.☆14Mar 4, 2025Updated last year
- A curated list of graph data augmentation papers.☆313Apr 17, 2024Updated 2 years ago
- DISCO: Influence Maximization Meets Graph Embedding and Deep Learning (a.k.a. PIANO)☆16Apr 1, 2022Updated 4 years ago
- The source code for Adaptive Kernel Graph Neural Network at AAAI2022☆14Feb 23, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This repository is the official implementation of Online Influence Maximization under Linear Threshold Model.☆15Oct 22, 2020Updated 5 years ago
- Code for ICML 2022 paper: Achieving Fairness at No Utility Cost via Data Reweighing with Influence☆11Aug 3, 2022Updated 3 years ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆174Feb 19, 2024Updated 2 years ago
- User-oriented Fairness in Recommendation☆29Nov 6, 2021Updated 4 years ago
- GiGL is an open-source library for training and inference of Graph Neural Networks at very large (billion) scale.☆57Nov 7, 2025Updated 5 months ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Aug 8, 2023Updated 2 years ago
- Official repository for ICLR'23 paper: Multi-task Self-supervised Graph Neural Network Enable Stronger Task Generalization☆38Jan 30, 2023Updated 3 years ago
- Implementation of the WWW'23 paper "Toward Degree Bias in Embedding-Based Knowledge Graph Completion"☆15Jun 17, 2023Updated 2 years ago
- ☆18Apr 30, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for the paper "Group-Fairness in Influence Maximization"☆26Oct 25, 2019Updated 6 years ago
- The source code for “Dual Label-Guided Graph Refinement for Multi-View Graph Clustering”☆23Mar 2, 2023Updated 3 years ago
- Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"☆15Oct 1, 2023Updated 2 years ago
- Official repository for EMNLP'22 paper: Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering☆23Oct 20, 2022Updated 3 years ago
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆76Apr 5, 2023Updated 3 years ago
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆179Feb 25, 2026Updated last month
- Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on…☆46Jul 5, 2022Updated 3 years ago