AlexDuvalinho / GraphSVX
Explanation method for Graph Neural Networks (GNNs)
☆65Updated 3 years ago
Alternatives and similar repositories for GraphSVX:
Users that are interested in GraphSVX are comparing it to the libraries listed below
- Generating PGM Explanation for GNN predictions☆74Updated last year
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆100Updated 3 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆43Updated 11 months ago
- ☆55Updated 2 years ago
- ☆80Updated 2 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆184Updated 10 months ago
- ☆27Updated 2 months ago
- Code for our paper "Attending to Graph Transformers"☆85Updated last year
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022☆29Updated 2 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆55Updated 2 years ago
- ☆55Updated 3 years ago
- Parameterized Explainer for Graph Neural Network☆130Updated last year
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆165Updated last year
- ☆94Updated last year
- here you can find the material used for our Tutorials☆100Updated 3 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆66Updated 2 years ago
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆61Updated 2 years ago
- Official code of "Towards Multi-Grained Explainability for Graph Neural Networks" (NeurIPS 2021) + Pytorch Implementation of recent attri…☆69Updated last month
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆79Updated 3 years ago
- GNNExplainer implementation using DGL☆31Updated 4 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆192Updated last month
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆87Updated last year
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆81Updated last year
- ☆155Updated 3 years ago
- Rex Ying's Ph.D. Thesis, Stanford University☆43Updated 2 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆55Updated 2 years ago
- All graph/GNN papers accepted at NeurIPS 2024.☆77Updated 4 months ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆68Updated 11 months ago
- ☆60Updated 2 years ago
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆81Updated last year