This is a Pytorch implementation of GraphLIME
☆96Jan 6, 2022Updated 4 years ago
Alternatives and similar repositories for GraphLIME
Users that are interested in GraphLIME 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
- Post-selection inference based on truncated Gaussians for the HSIC-Lasso feature selection procedure☆10Jun 17, 2021Updated 5 years ago
- gnn explainer☆1,063Aug 30, 2024Updated 2 years ago
- Explanation method for Graph Neural Networks (GNNs)☆73Apr 27, 2025Updated last year
- This repository contains the official implementation and resources for the GraphXAIN: Narratives to Explain Graph Neural Networks (Cedro …☆14Apr 22, 2026Updated 6 months 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.
- Rex Ying's Ph.D. Thesis, Stanford University☆42Jun 16, 2022Updated 4 years ago
- Papers about explainability of GNNs☆818Jun 3, 2026Updated 4 months ago
- ☆19Sep 30, 2022Updated 4 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 6 months ago
- graph representation learning model that incorporates topological information☆10Sep 21, 2023Updated 3 years ago
- ☆10Jan 21, 2024Updated 2 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆214May 22, 2024Updated 2 years ago
- A library for graph deep learning research☆2,009Jul 15, 2024Updated 2 years ago
- ☆18Feb 6, 2023Updated 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.
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆67Jun 23, 2023Updated 3 years ago
- MatID is a Python package for identifying and analyzing atomistic systems based on their structure.☆14Oct 9, 2026Updated 3 weeks ago
- Bags of Tricks in OGB (node classification) with GCNs.☆37Aug 11, 2021Updated 5 years ago
- Pytorch implementation of XGNN☆10Jan 20, 2021Updated 5 years ago
- 🧪 A unified benchmark to evaluate & compare Explainable AI methods (SHAP, LIME, ...) via functional tests. Live results + paper (arXiv:2…☆14Jul 3, 2026Updated 3 months ago
- ☆59Mar 22, 2022Updated 4 years ago
- Official implementation of GraphMask as presented in our paper Interpreting Graph Neural Networks for NLP With Differentiable Edge Maskin…☆48Apr 23, 2021Updated 5 years ago
- Benchmark scripts for comparing tutorials in PyTorch and JAX☆14Aug 25, 2022Updated 4 years ago
- Generating PGM Explanation for GNN predictions☆76Jul 6, 2023Updated 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.
- A tool to help understand how GNN/BERT works by attention☆15Jul 5, 2020Updated 6 years ago
- Large-Scale Heterogeneous Feature Embedding☆15Mar 21, 2022Updated 4 years ago
- ☆17Oct 5, 2020Updated 6 years ago
- Accompanied repositories for our paper Graph foundation model☆238Nov 11, 2024Updated last year
- A curated list of graph data augmentation papers.☆312Apr 17, 2024Updated 2 years ago
- Benchmarking GNN explainers.☆13Apr 19, 2024Updated 2 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆50Apr 8, 2024Updated 2 years ago
- ☆16Jun 15, 2019Updated 7 years ago
- Curriculum Meta-Learning for Next POI Recommendation☆18Sep 6, 2021Updated 5 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.
- ☆46Dec 8, 2024Updated last year
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆508Aug 12, 2022Updated 4 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆154Oct 11, 2022Updated 4 years ago
- DP-GNN design that ensures both model weights and inference procedure differentially private (NeurIPS 2023)☆12Oct 14, 2023Updated 3 years ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆36Dec 27, 2021Updated 4 years ago
- IJCAI 2022- Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering☆21Apr 24, 2023Updated 3 years ago
- ☆13Oct 6, 2026Updated 3 weeks ago