☆19Mar 28, 2022Updated 4 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:
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆28Jul 8, 2022Updated 4 years ago
- Code for paper https://arxiv.org/abs/2102.13186☆42Apr 3, 2021Updated 5 years ago
- [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☆65May 7, 2024Updated 2 years ago
- Code for ICLR'2021 paper: On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections☆12Jul 17, 2021Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆14Jul 22, 2026Updated last month
- A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Informati…☆70Aug 18, 2023Updated 3 years ago
- [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction☆26May 27, 2022Updated 4 years ago
- Paper List for Fair Graph Learning (FairGL).☆143Sep 18, 2024Updated last year
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆50Jun 7, 2020Updated 6 years ago
- ☆12Apr 16, 2024Updated 2 years ago
- The repository of "Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark" (KDD'24)☆13Jan 27, 2026Updated 7 months ago
- 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 3 years ago
- User-oriented Fairness in Recommendation☆29Nov 6, 2021Updated 4 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- HSTGODE code☆11Nov 26, 2023Updated 2 years ago
- 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
- A list of Graph Causal Learning materials.☆212Jan 24, 2025Updated last year
- Download and view subway ridership data for BART (Bay Area) and MTA (New York City)☆10Dec 9, 2022Updated 3 years ago
- This is the official PyTorch implementation of our NeurIPS 2021 paper: "SalKG: Learning From Knowledge Graph Explanations for Commonsense…☆12Jun 9, 2022Updated 4 years ago
- ☆10Sep 16, 2021Updated 4 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
- [NeurIPS 2022] Explaining Graph Neural Networks with Structure-Aware Cooperative Games (GStarX)☆15Oct 20, 2022Updated 3 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 official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆91Nov 24, 2022Updated 3 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆212May 22, 2024Updated 2 years ago
- The code of MultiSPANS.☆12Oct 20, 2023Updated 2 years ago
- Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"☆20May 28, 2023Updated 3 years ago
- Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).☆17Jan 8, 2025Updated last year
- ☆19Apr 30, 2022Updated 4 years ago
- Random Generator of Btor2 Files☆10Sep 2, 2023Updated 2 years ago
- ☆38Jun 3, 2023Updated 3 years ago
- ☆10Oct 18, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- easter egg is a flexible, high-performance e-graph library with support of multiple additional assumptions at once☆13Mar 27, 2025Updated last year
- Fine tuning Mistral-7b with PEFT(Parameter Efficient Fine-Tuning) and LoRA(Low-Rank Adaptation) on Puffin Dataset(multi-turn conversation…☆12Nov 23, 2023Updated 2 years ago
- PROVED (PRocess mining OVer uncErtain Data) is a library of functionalities to perform process mining on uncertain event data.☆12Apr 27, 2026Updated 4 months ago
- an artificial data generator for process discovery evaluation☆12Aug 22, 2019Updated 7 years ago
- Scalable and computationally efficient deep reinforcement learning framework for influence maximization☆13May 10, 2025Updated last year
- A PyTorch implementation of "Towards Self-Explainable Graph Neural Network" (CIKM 2021).☆13Nov 4, 2021Updated 4 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