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 4 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆212May 22, 2024Updated 2 years ago
- ☆20Jul 30, 2024Updated 2 years ago
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆23Oct 29, 2023Updated 2 years ago
- Towards Multi-Grained Explainability for Graph Neural Networks (NeurIPS 2021) + Pytorch Implementation of GNN attribution methods☆69Feb 16, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Papers about explainability of GNNs☆817Jun 3, 2026Updated 3 months ago
- Parameterized Explainer for Graph Neural Network☆146Feb 23, 2024Updated 2 years ago
- The multiplex network of human diseases☆15Jul 3, 2025Updated last year
- ☆69Dec 19, 2025Updated 9 months ago
- ☆19May 27, 2021Updated 5 years ago
- ☆58Mar 22, 2022Updated 4 years ago
- Towards Efficient Shapley Value Estimation via Cross-contribution Maximization☆14Jul 8, 2022Updated 4 years ago
- code for kdd feasibiiity☆12Jul 17, 2023Updated 3 years ago
- The official implementation for the paper "SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanation"☆27Nov 20, 2023Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- [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.☆16Jan 29, 2024Updated 2 years ago
- Official repository of GLGExplainer (ICLR2023)☆21Jun 7, 2024Updated 2 years ago
- An open evaluation suite for fMRI foundation models☆18Jul 21, 2026Updated last month
- gnn explainer☆1,058Aug 30, 2024Updated 2 years ago
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆89Oct 15, 2024Updated last year
- ☆16Jun 15, 2019Updated 7 years ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆38Oct 4, 2023Updated 2 years ago
- ☆19Mar 27, 2023Updated 3 years ago
- 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.
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆123Aug 28, 2023Updated 3 years ago
- A library for graph deep learning research☆2,009Jul 15, 2024Updated 2 years ago
- Scalable tumor phylogeny inference and validation from single-cell RNA or DNA data☆14Dec 24, 2023Updated 2 years ago
- An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)☆61Dec 3, 2023Updated 2 years ago
- A simple neural network in C#, without libraries☆10Dec 5, 2019Updated 6 years ago
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Apr 14, 2026Updated 5 months ago
- Implementation of paper "Explanability-based backdoor attacks against graph neural networks"☆12Aug 1, 2022Updated 4 years ago
- Egocentric Temporal Motifs Miner☆13Nov 9, 2021Updated 4 years ago
- ☆24Nov 15, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ETNgen: A temporal graph generator based on Egocentric Temporal Motifs☆15Aug 11, 2023Updated 3 years ago
- My learning notes for ML&SYS.☆13Mar 27, 2026Updated 5 months ago
- Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories☆84Oct 19, 2021Updated 4 years ago
- Code of hi-GCN☆28Jun 26, 2024Updated 2 years ago
- ☆10Nov 29, 2024Updated last year
- 逻辑回归和单层softmax的解析解☆12Jul 29, 2021Updated 5 years ago
- ICDM2022大规模电商图上的风险商品检测比赛（第六名）☆19Sep 21, 2022Updated 3 years ago