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 last month
- Towards Multi-Grained Explainability for Graph Neural Networks (NeurIPS 2021) + Pytorch Implementation of GNN attribution methods☆69Feb 16, 2025Updated last year
- ☆10Nov 17, 2020Updated 5 years ago
- gnn explainer☆1,043Aug 30, 2024Updated last year
- Minimal implementation of graph attention student model architecture☆12Apr 15, 2026Updated last month
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [NeurIPS 2022] Explaining Graph Neural Networks with Structure-Aware Cooperative Games (GStarX)☆14Oct 20, 2022Updated 3 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
- Explainable recommendation via interpretable feature mapping☆19Apr 25, 2020Updated 6 years ago
- Papers about explainability of GNNs☆802Updated this week
- ☆19Sep 30, 2022Updated 3 years ago
- A library for graph deep learning research☆2,001Jul 15, 2024Updated last year
- Explanation method for Graph Neural Networks (GNNs)☆72Apr 27, 2025Updated last year
- 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.
- Parameterized Explainer for Graph Neural Network☆145Feb 23, 2024Updated 2 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆50Apr 8, 2024Updated 2 years ago
- Non-IID Transfer Learning on Graphs☆13Jul 4, 2023Updated 2 years ago
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆28Jul 8, 2022Updated 3 years ago
- Synthetic graph generator☆13Nov 7, 2023Updated 2 years ago
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆23Feb 27, 2023Updated 3 years ago
- The codebase and datasets for the IJCAI 2021 paper "The Surprising Power of Graph Neural Networks with Random Node Initialization".☆22Jun 3, 2021Updated 4 years ago
- Modified chesterish Jupyter theme with larger font and Iosevka webfont☆10Nov 25, 2017Updated 8 years ago
- The repository of "Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark" (KDD'24)☆13Jan 27, 2026Updated 3 months ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Information Bottleneck Approach to Spatial Attention Learning, IJCAI2021☆15Jun 1, 2021Updated 4 years ago
- Code for Explainable Synthesizability Prediction of Inorganic Crystal Polymorphs using Large Language Models☆12Feb 19, 2025Updated last year
- Contextual Parameter Generation for Knowledge Graph Link Prediction☆22May 3, 2024Updated 2 years ago
- MolRep: A Deep Representation Learning Library for Molecular Property Prediction☆130Sep 17, 2024Updated last year
- structure-based explanation methods☆29Apr 27, 2024Updated 2 years ago
- Analyse metabolic stability predictions using SHapley Additive exPlanations.☆11Jul 26, 2023Updated 2 years ago
- ☆11Jun 11, 2025Updated 11 months ago
- Beyond Gradient Descent for Regularized Segmentation Losses☆11Sep 27, 2019Updated 6 years ago
- The implementation of the Block Coordinate Regularization by Denoising (BC-RED) algorithm (NeurIPS 2019)☆10Oct 15, 2019Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆37Oct 6, 2023Updated 2 years ago
- ☆13Feb 9, 2023Updated 3 years ago
- Protein function prediction using protein structures and deep graph neural networks.☆22Jan 24, 2025Updated last year
- A Generative Diffusion Model for Crystal Symmetry☆26Apr 13, 2026Updated last month
- This is a Pytorch implementation of GraphLIME☆96Jan 6, 2022Updated 4 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
- [BMVC 2022] Information Theoretic Representation Distillation☆19Oct 6, 2023Updated 2 years ago