☆26Jul 22, 2022Updated 3 years ago
Alternatives and similar repositories for FairVGNN
Users that are interested in FairVGNN are comparing it to the libraries listed below
Sorting:
- ☆38Jun 3, 2023Updated 2 years ago
- ☆45Apr 2, 2023Updated 2 years ago
- This repository includes the implementation of CAGCN and the experiments on link prediction/node classification☆54May 2, 2023Updated 2 years ago
- Code for paper https://arxiv.org/abs/2102.13186☆42Apr 3, 2021Updated 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 ICLR'2021 paper: On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections☆12Jul 17, 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
- This repository aims to provide comprehensive paper lists of work on fairness and diversity in recommender systems.☆24Jun 29, 2023Updated 2 years ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆64May 7, 2024Updated last year
- This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (G…☆23May 25, 2023Updated 2 years ago
- MolKGNN is a deep learning model for predicting biological activity or molecular properties. It features in 1. SE(3)-invariance 2. confor…☆14Jan 22, 2024Updated 2 years ago
- [SIGKDD 2024] Rethinking Fair Graph Neural Networks from Re-balancing☆10Jul 15, 2024Updated last year
- Code for the ICOSSAR 2021 paper titled Comparing Topology-based and Flow-based Resilience Assessment of Interdependent Infrastructure Net…☆16Apr 11, 2024Updated last year
- How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)☆13Jul 24, 2022Updated 3 years ago
- Paper List for Fair Graph Learning (FairGL).☆143Sep 18, 2024Updated last year
- Open-source datasets for paper "Fairness in Graph Mining: A Survey".☆19Nov 3, 2022Updated 3 years ago
- ☆21Apr 10, 2023Updated 2 years ago
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆50Jun 7, 2020Updated 5 years ago
- Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021☆50Feb 13, 2021Updated 5 years ago
- A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…☆20Jan 30, 2021Updated 5 years ago
- Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"☆23Jun 25, 2022Updated 3 years ago
- Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)☆25Feb 15, 2023Updated 3 years ago
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆34Feb 28, 2023Updated 3 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆83Dec 10, 2021Updated 4 years ago
- Some resources (books, paper, video and online courses) about ML,DL,DM☆12Mar 14, 2021Updated 4 years ago
- TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf☆33Oct 2, 2022Updated 3 years ago
- ☆36Jun 29, 2022Updated 3 years ago
- A curated list of graph data augmentation papers.☆311Apr 17, 2024Updated last year
- These are the official datasets used on the Medicare.gov Hospital Compare Website provided by the Centers for Medicare & Medicaid Service…☆10Mar 12, 2018Updated 7 years ago
- The code of APP, Scalable Graph Embedding for Asymmetric Proximity. Zhou, Chang and Liu, Yuqiong and Liu, Xiaofei and Liu, Zhongyi and Ga…☆10Nov 11, 2018Updated 7 years ago
- An updated version of eICU Benchmark with an updated problem definition on LoS and Decompensation tasks☆11Aug 12, 2021Updated 4 years ago
- 机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格…☆10Feb 25, 2020Updated 6 years ago
- [CIKM 2023] Code for the paper "LTE4G: Long-Tail Experts for Graph Neural Networks"☆40Sep 8, 2022Updated 3 years ago
- Benchmarks for Graph Machine Learning in Brain Connectomics☆42Feb 5, 2025Updated last year
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆42Mar 18, 2023Updated 2 years ago
- [CIKM'23] The official implementation code of DiffuASR.☆42May 7, 2024Updated last year
- Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022☆38May 6, 2022Updated 3 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆92Dec 2, 2021Updated 4 years ago
- ☆11Jan 23, 2021Updated 5 years ago