☆18Mar 28, 2022Updated 3 years ago
Alternatives and similar repositories for GEAR
Users that are interested in GEAR are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for paper https://arxiv.org/abs/2102.13186☆42Apr 3, 2021Updated 4 years ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆64May 7, 2024Updated last year
- [CIKM 2023] Towards Fair Graph Neural Networks via Graph Counterfactual.☆14Mar 4, 2025Updated last year
- ☆26Jul 22, 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
- ☆14Dec 13, 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
- Papers on fairness☆12Oct 20, 2020Updated 5 years ago
- [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction☆26May 27, 2022Updated 3 years ago
- Paper List for Fair Graph Learning (FairGL).☆143Sep 18, 2024Updated last year
- ☆12Apr 16, 2024Updated last year
- The repository of "Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark" (KDD'24)☆13Jan 27, 2026Updated last month
- Implementation of the paper titled: "FACE: Feasible and actionable counterfactual recourse" by Rafael et. at. - https://arxiv.org/pdf/190…☆14Dec 12, 2020Updated 5 years ago
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆63Mar 8, 2023Updated 3 years ago
- Download and view subway ridership data for BART (Bay Area) and MTA (New York City)☆10Dec 9, 2022Updated 3 years ago
- Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021☆50Feb 13, 2021Updated 5 years ago
- A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)☆16Nov 14, 2021Updated 4 years ago
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆92Nov 24, 2022Updated 3 years ago
- [NeurIPS 2022] Explaining Graph Neural Networks with Structure-Aware Cooperative Games (GStarX)☆14Oct 20, 2022Updated 3 years ago
- HSTGODE code☆11Nov 26, 2023Updated 2 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆55Jul 18, 2018Updated 7 years ago
- Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…☆25Feb 15, 2024Updated 2 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆207May 22, 2024Updated last year
- Random Generator of Btor2 Files☆10Sep 2, 2023Updated 2 years ago
- Python implementation of PCA on graph ECTD☆12May 29, 2024Updated last year
- Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)☆27Jan 27, 2023Updated 3 years ago
- The code of MultiSPANS.☆12Oct 20, 2023Updated 2 years ago
- [SIGMOD 24] View-based Explanations for Graph Neural Networks☆17Jan 18, 2025Updated last year
- Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data, WWW 2022☆14Apr 6, 2022Updated 3 years ago
- Converting Boolean expressions to CMOS Circuits☆11Oct 6, 2020Updated 5 years ago
- PROVED (PRocess mining OVer uncErtain Data) is a library of functionalities to perform process mining on uncertain event data.☆12Jan 12, 2023Updated 3 years ago
- ☆10Oct 18, 2021Updated 4 years ago
- ☆38Jun 3, 2023Updated 2 years ago
- ☆18Apr 30, 2022Updated 3 years ago
- ☆13Mar 12, 2025Updated last year
- Scalable and computationally efficient deep reinforcement learning framework for influence maximization☆13May 10, 2025Updated 10 months ago
- ☆37Oct 18, 2023Updated 2 years ago
- This is the official release code of AAAI2023 accepted paper: "Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction"☆12Nov 23, 2022Updated 3 years ago
- The official PyTorch implementation of "Causal Learning Empowered OD Prediction for Urban Planning" (CIKM 2022).☆11Mar 10, 2023Updated 3 years ago