claws-lab / TDAPLinks
Temporal-Dynamics Aware Adversarial Attacks on Discrete Time Dynamic Graph Models
☆16Updated 10 months ago
Alternatives and similar repositories for TDAP
Users that are interested in TDAP are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Informati…☆67Updated 2 years ago
- GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.☆49Updated 3 months ago
- Paper List for Fair Graph Learning (FairGL).☆140Updated 11 months ago
- ☆96Updated 2 years ago
- General Strategy for Unlearning in Graph Neural Networks☆46Updated 2 years ago
- A curated list of publications and code about data augmentaion for graphs.☆63Updated 3 years ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆37Updated 9 months ago
- Materials for SDM 2023 tutorial: Augmentation Methods for Graph Learning☆21Updated 2 years ago
- Dynamic Graph Benchmark☆82Updated 2 years ago
- ☆33Updated last year
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆62Updated last year
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆48Updated 9 months ago
- ☆79Updated 10 months ago
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆81Updated 2 years ago
- ☆57Updated last year
- Open-source datasets for paper "Fairness in Graph Mining: A Survey".☆18Updated 2 years ago
- A curated list of graph data augmentation papers.☆312Updated last year
- ☆29Updated last year
- [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?☆62Updated 4 months ago
- This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)☆13Updated 2 years ago
- ☆36Updated 2 years ago
- ☆38Updated last year
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆48Updated 3 years ago
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆131Updated 11 months ago
- The repository of "Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark" (KDD'24)☆12Updated 10 months ago
- Language is All a Graph Needs☆260Updated 5 months ago
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆27Updated 3 years ago
- Code for paper https://arxiv.org/abs/2102.13186☆43Updated 4 years ago
- ☆25Updated 2 years ago
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆85Updated 10 months ago