OpenXAIProject / GNNExplainer-TutorialLinks
☆53Updated 4 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:
- ☆58Updated 3 years ago
- This is a Pytorch implementation of GraphLIME☆92Updated 3 years ago
- Parameterized Explainer for Graph Neural Network☆134Updated last year
- ☆55Updated 3 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆48Updated last year
- Generating PGM Explanation for GNN predictions☆75Updated last year
- Code for paper https://arxiv.org/abs/2102.13186☆44Updated 4 years ago
- Deep amortized clustering☆20Updated 4 years ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆168Updated last year
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Updated 6 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆157Updated 2 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 3 years ago
- Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"☆53Updated 2 years ago
- (CIKM'21) Variational Graph Normalized Auto-Encoders☆35Updated 3 years ago
- LRP for LSTM using Korean dataset(NSCM)☆20Updated 5 years ago
- ☆138Updated 4 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆88Updated 3 years ago
- This repository contains the experiments performed on the GNNExplainer Code☆15Updated 3 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆80Updated 3 years ago
- GNNExplainer implementation using DGL☆31Updated 4 years ago
- [PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning☆34Updated 3 years ago
- Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories☆83Updated 3 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Updated 3 years ago
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆96Updated last year
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Updated 3 months ago
- Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)☆107Updated 3 years ago
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆45Updated 3 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆44Updated last year
- Graph meta learning via local subgraphs (NeurIPS 2020)☆123Updated 11 months ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆113Updated 9 months ago