Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories
☆84Oct 19, 2021Updated 4 years ago
Alternatives and similar repositories for GCNN-Explainability
Users that are interested in GCNN-Explainability are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Apr 14, 2026Updated 5 months ago
- Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "…☆127Nov 12, 2019Updated 6 years ago
- gnn explainer☆1,058Aug 30, 2024Updated 2 years ago
- ☆10Nov 17, 2020Updated 5 years ago
- Minimal implementation of graph attention student model architecture☆12Aug 15, 2026Updated last month
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [NeurIPS 2022] Explaining Graph Neural Networks with Structure-Aware Cooperative Games (GStarX)☆15Oct 20, 2022Updated 3 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆212May 22, 2024Updated 2 years ago
- ☆58Mar 22, 2022Updated 4 years ago
- A PyTorch implementation of "Towards Self-Explainable Graph Neural Network" (CIKM 2021).☆13Nov 4, 2021Updated 4 years ago
- This repository contains the experiments performed on the GNNExplainer Code☆16Oct 12, 2021Updated 4 years ago
- Papers about explainability of GNNs☆817Jun 3, 2026Updated 3 months ago
- Explainable recommendation via interpretable feature mapping☆19Apr 25, 2020Updated 6 years ago
- A library for graph deep learning research