gnn explainer
☆1,055Aug 30, 2024Updated last year
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
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,665Jun 22, 2023Updated 3 years ago
- Generating PGM Explanation for GNN predictions☆76Jul 6, 2023Updated 3 years ago
- Papers about explainability of GNNs☆814Jun 3, 2026Updated last month
- Strategies for Pre-training Graph Neural Networks☆1,067Jul 29, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- This is a Pytorch implementation of GraphLIME☆96Jan 6, 2022Updated 4 years ago
- A library for graph deep learning research☆2,005Jul 15, 2024Updated 2 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
- ☆19Sep 30, 2022Updated 3 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,728Feb 2, 2024Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆401Jun 17, 2024Updated 2 years ago
- ☆56Aug 24, 2020Updated 5 years ago
- How Powerful are Graph Neural Networks?☆1,286Jul 1, 2021Updated 5 years ago
- Graph Neural Network Library for PyTorch☆23,901Jul 6, 2026Updated 2 weeks ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,090May 6, 2025Updated last year
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆359Jun 12, 2025Updated last year
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,285Jul 31, 2025Updated 11 months ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆365Jul 9, 2020Updated 6 years ago
- GNNExplainer implementation using DGL☆31Mar 10, 2021Updated 5 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆213May 22, 2024Updated 2 years ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,899Nov 10, 2023Updated 2 years ago
- Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories☆84Oct 19, 2021Updated 4 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆476Dec 7, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Apr 14, 2026Updated 3 months ago
- Must-read papers on graph neural networks (GNN)☆16,816Dec 20, 2023Updated 2 years ago
- Pytorch implementation of XGNN☆10Jan 20, 2021Updated 5 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆496Dec 5, 2018Updated 7 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆850Dec 13, 2021Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆667Nov 1, 2022Updated 3 years ago
- ☆58Mar 22, 2022Updated 4 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆927Dec 20, 2023Updated 2 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆50Apr 8, 2024Updated 2 years ago
- 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.
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,539Apr 9, 2022Updated 4 years ago
- ☆311Jul 17, 2022Updated 4 years ago
- links to conference publications in graph-based deep learning☆5,089Jun 7, 2026Updated last month
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆309May 12, 2023Updated 3 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,818Feb 1, 2024Updated 2 years ago
- A curated list of adversarial attacks and defenses papers on graph-structured data.☆860Dec 15, 2023Updated 2 years ago
- ☆510Jan 13, 2021Updated 5 years ago