Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "Explainability Techniques for Graph Convolutional Networks" (ICML19)
☆127Nov 12, 2019Updated 6 years ago
Alternatives and similar repositories for graph-network-explainability
Users that are interested in graph-network-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:
- Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories☆84Oct 19, 2021Updated 4 years ago
- Anonymous Repository for ICML LRG Workshop: On Explainability Techniques for Graph Convolutional Networks☆23Apr 29, 2019Updated 6 years ago
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Oct 29, 2025Updated 5 months ago
- ☆19Sep 30, 2022Updated 3 years ago
- gnn explainer☆1,039Aug 30, 2024Updated last year
- 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.
- Parameterized Explainer for Graph Neural Network☆145Feb 23, 2024Updated 2 years ago
- ☆58Mar 22, 2022Updated 4 years ago
- [NeurIPS 2022] Explaining Graph Neural Networks with Structure-Aware Cooperative Games (GStarX)☆14Oct 20, 2022Updated 3 years ago
- BayesGrad: Explaining Predictions of Graph Convolutional Networks☆63Jan 21, 2022Updated 4 years ago
- CH485 - Artificial Intelligence and Chemistry☆14Jan 1, 2020Updated 6 years ago
- 2018 RDKit UGM☆14Sep 28, 2018Updated 7 years ago
- ☆13Oct 6, 2024Updated last year
- Literature of deep learning for graphs in Chemistry and Biology☆203Dec 10, 2020Updated 5 years ago
- Supporting code for the paper «Generative molecular design in low data regimes»☆64Jun 22, 2021Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Message Passing Neural Networks for Molecule Property Prediction☆12Jan 17, 2020Updated 6 years ago
- Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20☆51Dec 24, 2020Updated 5 years ago
- ☆28Sep 30, 2022Updated 3 years ago
- Notebook for standardization of actvity data, nonadditivity analysis and its evaluation.☆12Mar 16, 2023Updated 3 years ago
- ☆20Jul 30, 2024Updated last year
- GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks☆11Aug 12, 2022Updated 3 years ago
- Explanation method for Graph Neural Networks (GNNs)☆71Apr 27, 2025Updated 11 months ago
- Towards Multi-Grained Explainability for Graph Neural Networks (NeurIPS 2021) + Pytorch Implementation of GNN attribution methods☆69Feb 16, 2025Updated last year
- Data and analysis scripts for understanding molecular entropies, including conformer flexibility☆13Mar 29, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆16Oct 28, 2019Updated 6 years ago
- Codebase for Evaluating Attribution for Graph Neural Networks.☆83Mar 2, 2021Updated 5 years ago
- Ideas for chemical similarity searches in MongoDB.☆28Feb 8, 2015Updated 11 years ago
- This repository contains the experiments performed on the GNNExplainer Code☆16Oct 12, 2021Updated 4 years ago
- ☆59Nov 21, 2018Updated 7 years ago
- ☆27Sep 1, 2021Updated 4 years ago
- Synthetic graph generator☆12Nov 7, 2023Updated 2 years ago
- Attention over nodes in Graph Neural Networks using PyTorch [NeurIPS 2019]☆289Oct 25, 2020Updated 5 years ago
- Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)☆151Jan 29, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆129Jul 16, 2022Updated 3 years ago
- Automatic extraction of interacting compound-target pairs from ChEMBL.☆21Sep 23, 2025Updated 6 months ago
- ☆23Jul 23, 2019Updated 6 years ago
- ☆31Jun 29, 2018Updated 7 years ago
- This code allows is for diversity picking across multiple different, and potentially overlapping chemical compound classes, while at the …☆12Oct 30, 2020Updated 5 years ago
- Molecular-GAT☆21May 30, 2018Updated 7 years ago
- docking visualization with py3dmol and streamlit☆25Mar 15, 2021Updated 5 years ago