Open-source datasets for paper "Fairness in Graph Mining: A Survey".
☆19Nov 3, 2022Updated 3 years ago
Alternatives and similar repositories for Graph-Mining-Fairness-Data
Users that are interested in Graph-Mining-Fairness-Data 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 ''Individual Fairness for Graph Neural Networks: A Ranking based Approach''.☆11Jul 8, 2022Updated 3 years ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆64May 7, 2024Updated last year
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆28Jul 8, 2022Updated 3 years ago
- Open-source code for ''Graph Neural Networks with Adaptive Frequency Response Filter''.☆25Jul 8, 2022Updated 3 years ago
- This is the official repository for the ICLR 2023 paper Causal Balancing for Domain Generalization☆13May 17, 2023Updated 2 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.
- 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
- [TMLR] Unsupervised Network Embedding Beyond Homophily (https://arxiv.org/abs/2203.10866) Resources☆11Mar 21, 2023Updated 3 years ago
- Paper List for Fair Graph Learning (FairGL).☆143Sep 18, 2024Updated last year
- ☆13Jun 18, 2025Updated 9 months ago
- Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"☆16Mar 23, 2024Updated 2 years ago
- How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)☆13Jul 24, 2022Updated 3 years ago
- ☆61Sep 26, 2024Updated last year
- GiGL is an open-source library for training and inference of Graph Neural Networks at very large (billion) scale.☆57Nov 7, 2025Updated 4 months ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆109Jun 18, 2025Updated 9 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- ☆12Oct 14, 2025Updated 5 months ago
- DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…☆19Jan 31, 2023Updated 3 years ago
- ☆98Jul 5, 2024Updated last year
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆46Jul 25, 2022Updated 3 years ago
- R package to compute distribution-free prediction bands using density estimators☆11Jul 26, 2021Updated 4 years ago
- [ICPRAI 2024] DocumentCLIP: Linking Figures and Main Body Text in Reflowed Documents☆16Apr 4, 2024Updated last year
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Jun 17, 2022Updated 3 years ago
- Benchmark☆115Apr 9, 2024Updated last year
- HMLET (Hybrid-Method-of-Linear-and-non-linEar-collaborative-filTering-method)☆20Feb 28, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆50Jun 7, 2020Updated 5 years ago
- ☆57Oct 25, 2023Updated 2 years ago
- An automatic MLLM hallucination detection framework☆19Sep 26, 2023Updated 2 years ago
- [ACL'25] Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning☆20Sep 27, 2025Updated 5 months ago
- ☆26Jul 22, 2022Updated 3 years ago
- ☆11Sep 30, 2022Updated 3 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆43Mar 18, 2023Updated 3 years ago
- Multimodal deep quality embedding network (MMDQEN) for affective video content analysis. (MM'19, TAFFC'20)☆10Jul 24, 2021Updated 4 years ago
- Analysing fairness of graph anomaly detection methods☆12Nov 24, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- ☆22Oct 14, 2022Updated 3 years ago
- Papers and online resources related to machine learning fairness☆76May 11, 2023Updated 2 years ago
- Samwalker☆10Aug 29, 2021Updated 4 years ago
- An awesome collection of causality-inspired graph neural networks.☆102Nov 30, 2024Updated last year
- Code for Towards More Practical Adversarial Attacks on Graph Neural Networks (NeurIPS 2020)☆27Nov 13, 2021Updated 4 years ago
- ☆10Jun 13, 2021Updated 4 years ago
- Overview of published generative models that produce molecules☆15Jan 16, 2020Updated 6 years ago