Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories
☆83Oct 19, 2021Updated 5 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 6 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
- Towards Multi-Grained Explainability for Graph Neural Networks (NeurIPS 2021) + Pytorch Implementation of GNN attribution methods☆69Feb 16, 2025Updated last year
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆214May 22, 2024Updated 2 years ago
- ☆59Mar 22, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- gnn explainer☆1,063Aug 30, 2024Updated 2 years ago
- Minimal implementation of graph attention student model architecture☆12Oct 20, 2026Updated last week
- A library for graph deep learning research☆2,009Jul 15, 2024Updated 2 years ago
- Papers about explainability of GNNs☆818Jun 3, 2026Updated 4 months ago
- [NeurIPS 2022] Explaining Graph Neural Networks with Structure-Aware Cooperative Games (GStarX)☆15Oct 20, 2022Updated 4 years ago
- ☆19Sep 30, 2022Updated 4 years ago
- Implementations of Graph Neural Network models in pytorch geometric☆18Jul 22, 2020Updated 6 years ago
- An implementation of the Equivariant Graph Neural Network (EGNN) layer type for DGL-PyTorch.☆15Dec 27, 2022Updated 3 years ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆38Oct 4, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆50Apr 8, 2024Updated 2 years ago
- Explanation method for Graph Neural Networks (GNNs)☆73Apr 27, 2025Updated last year
- Parameterized Explainer for Graph Neural Network☆146Feb 23, 2024Updated 2 years ago
- This repository contains the official implementation and resources for the GraphXAIN: Narratives to Explain Graph Neural Networks (Cedro …☆14Apr 22, 2026Updated 6 months ago
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆28Jul 8, 2022Updated 4 years ago
- ☆12Sep 9, 2020Updated 6 years ago
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆25Feb 27, 2023Updated 3 years ago
- ☆13Oct 6, 2024Updated 2 years ago
- Tutorial for Clustering mixed data types☆10Jan 25, 2021Updated 5 years ago
- 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.
- MolRep: A Deep Representation Learning Library for Molecular Property Prediction☆131Sep 17, 2024Updated 2 years ago
- structure-based explanation methods☆29Apr 27, 2024Updated 2 years ago
- Synthetic graph generator☆13Nov 7, 2023Updated 2 years ago
- ☆10Feb 18, 2023Updated 3 years ago
- FLOPS counter for all your GPU benchmarking needs☆13Aug 8, 2024Updated 2 years ago
- Interactive plots with chemical structures☆15Nov 14, 2019Updated 6 years ago
- Code for Explainable Synthesizability Prediction of Inorganic Crystal Polymorphs using Large Language Models☆13Feb 19, 2025Updated last year
- The repository of the course "Machine Learning in Drug Design" at the Jagiellonian University, Kraków, Poland. The page is hosted by the …☆11Feb 7, 2022Updated 4 years ago
- ☆32Nov 15, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆10Nov 27, 2019Updated 6 years ago
- Input files for Batzner, S., Musaelian, A., Sun, L., Geiger, M., Mailoa, J. P., Kornbluth, M., ... & Kozinsky, B. (2021). E(3)-equivarian…☆16Jul 3, 2025Updated last year
- Analysis of statistical associations between adverse events of drugs from the Food and Drug Administration Adverse Event Reporting System…☆11Jun 15, 2020Updated 6 years ago
- Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, …☆16May 9, 2019Updated 7 years ago
- ☆13Sep 17, 2025Updated last year
- [ICLR 2023] Link Prediction with Non-Contrastive Learning☆25Jan 13, 2023Updated 3 years ago
- ☆22Jul 28, 2020Updated 6 years ago