TimeLovercc / CAF-GNN
[CIKM 2023] Towards Fair Graph Neural Networks via Graph Counterfactual.
☆12Updated 10 months ago
Alternatives and similar repositories for CAF-GNN:
Users that are interested in CAF-GNN are comparing it to the libraries listed below
- The repository of "Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark" (KDD'24)☆10Updated 3 months ago
- ☆18Updated 2 years ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆28Updated 7 months ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆42Updated 2 years ago
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆53Updated 2 months ago
- ☆24Updated 2 years ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆24Updated 5 months ago
- Community-aware Graph Transformer (CGT) is a novel Graph Transformer model that utilizes community structures to address node degree bias…☆13Updated 9 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆39Updated 3 weeks ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆32Updated 2 months ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆37Updated last year
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆26Updated 2 years ago
- code for kdd feasibiiity☆10Updated last year
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆62Updated 8 months ago
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆16Updated last year
- Official implementation of GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs☆34Updated 3 weeks ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction☆26Updated 2 years ago
- Official implementation of paper "Efficient Tuning and Inference for Large Language Models on Textual Graphs"☆29Updated 6 months ago
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆29Updated last year
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆18Updated 10 months ago
- Official Repo of SimTeG☆39Updated 9 months ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆56Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆40Updated last year
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆69Updated last year
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆17Updated 2 years ago
- A curated list of publications and code about data augmentaion for graphs.☆63Updated 2 years ago
- source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".☆22Updated 3 years ago
- A curated list of papers and code related to class-imbalanced learning on graphs (CILG).☆33Updated this week
- Global Counterfactual Explainer for Graph Neural Networks☆17Updated last year