GraphFramEx: a systematic evaluation framework for explainability methods on GNNs
☆50Apr 8, 2024Updated 2 years ago
Alternatives and similar repositories for graphframex
Users that are interested in graphframex are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆11Jul 12, 2022Updated 3 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆209May 22, 2024Updated last year
- ☆20Jul 30, 2024Updated last year
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆24Oct 29, 2023Updated 2 years ago
- ☆11Nov 8, 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.
- Towards Multi-Grained Explainability for Graph Neural Networks (NeurIPS 2021) + Pytorch Implementation of GNN attribution methods☆69Feb 16, 2025Updated last year
- Papers about explainability of GNNs☆802Updated this week
- ProxyExplainer for Graph Neural Networks☆15Oct 24, 2024Updated last year
- ☆10Jun 11, 2023Updated 2 years ago
- Parameterized Explainer for Graph Neural Network☆145Feb 23, 2024Updated 2 years ago
- The multiplex network of human diseases☆15Jul 3, 2025Updated 10 months ago
- ☆66Dec 19, 2025Updated 5 months ago
- ☆18May 27, 2021Updated 4 years ago
- ☆58Mar 22, 2022Updated 4 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.
- Towards Efficient Shapley Value Estimation via Cross-contribution Maximization☆14Jul 8, 2022Updated 3 years ago
- ☆19May 21, 2025Updated 11 months ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆175Feb 19, 2024Updated 2 years ago
- The official implementation of AAAI'24 paper: Self-Interpretable Graph Learning with Sufficient and Necessary Explanations.☆15Jan 29, 2024Updated 2 years ago
- Official repository of GLGExplainer (ICLR2023)☆21Jun 7, 2024Updated last year
- [NeurIPS 2022] Explaining Graph Neural Networks with Structure-Aware Cooperative Games (GStarX)☆14Oct 20, 2022Updated 3 years ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆39Oct 4, 2023Updated 2 years ago
- MetA-Train to Explain☆18Feb 15, 2022Updated 4 years ago
- gnn explainer☆1,043Aug 30, 2024Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆89Oct 15, 2024Updated last year
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆123Aug 28, 2023Updated 2 years ago
- ☆16Jun 15, 2019Updated 6 years ago
- Generating PGM Explanation for GNN predictions☆75Jul 6, 2023Updated 2 years ago
- ☆10Nov 29, 2024Updated last year
- A library for graph deep learning research☆2,001Jul 15, 2024Updated last year
- Scalable tumor phylogeny inference and validation from single-cell RNA or DNA data☆14Dec 24, 2023Updated 2 years ago
- Repository for "Online Active Model Selection for Pre-trained ML Classifiers"☆14Feb 7, 2023Updated 3 years ago
- [ICML 2024] KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning☆26Sep 20, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- 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
- Implementation of paper "Explanability-based backdoor attacks against graph neural networks"☆12Aug 1, 2022Updated 3 years ago
- ☆23Nov 15, 2022Updated 3 years ago
- Code of hi-GCN☆28Jun 26, 2024Updated last year
- a robust metric (robust fidelity) for XGNN (ICLR24)☆12Jun 3, 2025Updated 11 months ago
- GCNs Analysis: Visualization, Error Cases etc.☆14Feb 15, 2023Updated 3 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆92Nov 21, 2024Updated last year