mims-harvard / GraphXAILinks
GraphXAI: Resource to support the development and evaluation of GNN explainers
☆193Updated last year
Alternatives and similar repositories for GraphXAI
Users that are interested in GraphXAI are comparing it to the libraries listed below
Sorting:
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆44Updated last year
- Explanation method for Graph Neural Networks (GNNs)☆71Updated 3 months ago
- Code for our paper "Attending to Graph Transformers"☆90Updated last year
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- Temporal Graph Benchmark project repo☆234Updated last month
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆125Updated last year
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆36Updated last year
- All graph/GNN papers accepted at NeurIPS 2024.☆82Updated 9 months ago
- List of papers on NeurIPS2023☆89Updated last year
- All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.☆215Updated 9 months ago
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆97Updated last year
- here you can find the material used for our Tutorials☆103Updated 3 years ago
- ☆83Updated 3 years ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆96Updated 9 months ago
- ☆55Updated 3 years ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆81Updated 2 years ago
- Graph Positional and Structural Encoder☆53Updated 6 months ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆82Updated last year
- GraphAny: Fully-inductive Node Classification on Arbitrary Graphs☆146Updated 6 months ago
- ☆155Updated 4 years ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆168Updated last year
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆201Updated 6 months ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆102Updated 4 years ago
- ☆95Updated 2 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆142Updated 6 months ago
- ☆61Updated 3 years ago
- Generating PGM Explanation for GNN predictions☆75Updated 2 years ago
- A curated list of graph data augmentation papers.☆312Updated last year
- ☆15Updated 4 years ago