Parameterized Explainer for Graph Neural Network
☆145Feb 23, 2024Updated 2 years ago
Alternatives and similar repositories for PGExplainer
Users that are interested in PGExplainer are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Generating PGM Explanation for GNN predictions☆75Jul 6, 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
- ☆58Mar 22, 2022Updated 4 years ago
- gnn explainer☆1,043Aug 30, 2024Updated last year
- Papers about explainability of GNNs☆802Updated this week
- 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.
- This is a Pytorch implementation of GraphLIME☆96Jan 6, 2022Updated 4 years ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆175Feb 19, 2024Updated 2 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆66Apr 7, 2022Updated 4 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆50Apr 8, 2024Updated 2 years ago
- ☆19Sep 30, 2022Updated 3 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 last month
- ☆66Dec 19, 2025Updated 5 months ago
- ☆58Sep 28, 2022Updated 3 years ago
- ☆20Jul 30, 2024Updated last year
- 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.
- A library for graph deep learning research☆2,001Jul 15, 2024Updated last year
- 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
- (ICLR 2022) Discovering Invariant Rationales for Graph Neural Networks☆134Jul 15, 2023Updated 2 years ago
- 一个XGNN实现过程☆12Apr 20, 2021Updated 5 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆209May 22, 2024Updated last year
- Variational Graph Convolutional Networks☆23Oct 16, 2020Updated 5 years ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆123Aug 28, 2023Updated 2 years ago
- a robust metric (robust fidelity) for XGNN (ICLR24)☆12Jun 3, 2025Updated 11 months ago
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆14Jun 15, 2024Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆92Nov 24, 2022Updated 3 years ago
- ☆10Jun 14, 2025Updated 11 months ago
- Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022☆42Jun 13, 2022Updated 3 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆333Jul 6, 2023Updated 2 years ago
- GNNExplainer implementation using DGL☆31Mar 10, 2021Updated 5 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆83Apr 29, 2021Updated 5 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆117Sep 9, 2024Updated last year
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆629Jul 17, 2024Updated last year
- Global Counterfactual Explainer for Graph Neural Networks☆22Mar 24, 2023Updated 3 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.
- [The Web Conference 2024] GNNShap: Scalable and Accurate GNN Explanation using Shapley Values☆44Mar 5, 2024Updated 2 years ago
- ☆14Mar 4, 2022Updated 4 years ago
- A curated list of resources for OOD detection with graph data.☆19Dec 30, 2023Updated 2 years ago
- Extending the Neural Graph Algorithm Executor☆13Dec 8, 2022Updated 3 years ago
- ☆11Jul 12, 2022Updated 3 years ago
- [Preprint] Graph State Space Convolution (GSSC)☆14Jun 11, 2024Updated last year
- Explanation method for Graph Neural Networks (GNNs)☆72Apr 27, 2025Updated last year