gnn explainer
☆1,063Aug 30, 2024Updated 2 years ago
Alternatives and similar repositories for gnn-model-explainer
Users that are interested in gnn-model-explainer are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Parameterized Explainer for Graph Neural Network☆146Feb 23, 2024Updated 2 years ago
- Papers about explainability of GNNs☆819Jun 3, 2026Updated 4 months ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,670Jun 22, 2023Updated 3 years ago
- Generating PGM Explanation for GNN predictions☆76Jul 6, 2023Updated 3 years ago
- Strategies for Pre-training Graph Neural Networks☆1,072Jul 29, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A library for graph deep learning research☆2,009Jul 15, 2024Updated 2 years ago
- This is a Pytorch implementation of GraphLIME☆96Jan 6, 2022Updated 4 years 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
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,727Feb 2, 2024Updated 2 years ago
- ☆19Sep 30, 2022Updated 4 years ago
- ☆56Aug 24, 2020Updated 6 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆214May 22, 2024Updated 2 years ago
- How Powerful are Graph Neural Networks?☆1,286Jul 1, 2021Updated 5 years ago
- Graph Neural Network Library for PyTorch☆24,128Oct 21, 2026Updated last week
- 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.
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification" (ICLR 2020)☆402Jun 17, 2024Updated 2 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆358Jun 12, 2025Updated last year
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,100May 6, 2025Updated last year
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆495Dec 5, 2018Updated 7 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,286Jul 31, 2025Updated last year
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,909Nov 10, 2023Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆366Jul 9, 2020Updated 6 years ago
- ☆69Dec 19, 2025Updated 10 months ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆477Dec 7, 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.
- 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
- GNNExplainer implementation using DGL☆31Mar 10, 2021Updated 5 years ago
- Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories☆83Oct 19, 2021Updated 5 years ago
- Must-read papers on graph neural networks (GNN)☆16,847Dec 20, 2023Updated 2 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆668Nov 1, 2022Updated 3 years ago
- ☆311Jul 17, 2022Updated 4 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆937Dec 20, 2023Updated 2 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆851Dec 13, 2021Updated 4 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,559Apr 9, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆309May 12, 2023Updated 3 years ago
- links to conference publications in graph-based deep learning☆5,108Oct 20, 2026Updated last week
- ☆58Mar 22, 2022Updated 4 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,819Feb 1, 2024Updated 2 years ago
- Pytorch implementation of XGNN☆10Jan 20, 2021Updated 5 years ago
- A curated list of adversarial attacks and defenses papers on graph-structured data.☆864Dec 15, 2023Updated 2 years ago
- ☆511Jan 13, 2021Updated 5 years ago