OpenXAIProject / GNNExplainer-TutorialLinks
☆56Updated 5 years ago
Alternatives and similar repositories for GNNExplainer-Tutorial
Users that are interested in GNNExplainer-Tutorial are comparing it to the libraries listed below
Sorting:
- This is a Pytorch implementation of GraphLIME☆94Updated 3 years ago
- Generating PGM Explanation for GNN predictions☆76Updated 2 years ago
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆110Updated 4 months ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆48Updated last year
- ☆55Updated 3 years ago
- ☆62Updated 3 years ago
- Code for paper https://arxiv.org/abs/2102.13186☆43Updated 4 years ago
- ☆19Updated 3 years ago
- ☆145Updated 4 years ago
- (CIKM'21) Variational Graph Normalized Auto-Encoders☆36Updated 3 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆67Updated 3 years ago
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆111Updated 5 years ago
- GNNExplainer implementation using DGL☆31Updated 4 years ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆37Updated 2 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆202Updated last year
- Parameterized Explainer for Graph Neural Network☆140Updated last year
- This repository contains the experiments performed on the GNNExplainer Code☆14Updated 4 years ago
- Explanation method for Graph Neural Networks (GNNs)☆70Updated 7 months ago
- Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"☆50Updated 3 years ago
- ☆51Updated 4 years ago
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆62Updated 5 years ago
- Tutorials for Machine Learning on Graphs☆231Updated 4 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- A list of Graph Causal Learning materials.☆205Updated 10 months ago
- Dynamic Graph Benchmark☆87Updated 2 years ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆172Updated last year
- Graph meta learning via local subgraphs (NeurIPS 2020)☆126Updated last year
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆105Updated 5 months ago
- Graph Masked Autoencoders☆28Updated 3 years ago
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆61Updated 3 years ago