AntonioLonga / Explaining-the-Explainers-in-Graph-Neural-NetworksLinks
Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"
☆35Updated last year
Alternatives and similar repositories for Explaining-the-Explainers-in-Graph-Neural-Networks
Users that are interested in Explaining-the-Explainers-in-Graph-Neural-Networks are comparing it to the libraries listed below
Sorting:
- here you can find the material used for our Tutorials☆100Updated 3 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆189Updated last year
- 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 curated list of publications and code about data augmentaion for graphs.☆63Updated 2 years ago
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆96Updated last year
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆44Updated last year
- Code for our paper "Attending to Graph Transformers"☆87Updated last year
- ☆58Updated 3 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 3 years ago
- Explanation method for Graph Neural Networks (GNNs)☆68Updated last month
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆81Updated last year
- Dynamic Graph Benchmark☆80Updated 2 years ago
- ☆55Updated 3 years ago
- Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"☆52Updated 2 years ago
- List of papers on NeurIPS2023☆89Updated last year
- ☆27Updated 4 months ago
- ☆82Updated 3 years ago
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆68Updated 2 years ago
- A collection of resources on attention-based graph neural networks☆76Updated last year
- ☆38Updated 2 years ago
- Code for paper https://arxiv.org/abs/2102.13186☆44Updated 4 years ago
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆96Updated last year
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆126Updated last year
- ☆24Updated 2 years ago
- Official Code Repository for the paper "Graph Ordering Attention Networks"☆21Updated last year
- Materials for SDM 2023 tutorial: Augmentation Methods for Graph Learning☆21Updated 2 years ago
- [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?☆58Updated last month
- GNNExplainer implementation using DGL☆31Updated 4 years ago
- ☆89Updated last year
- List of papers on ICML2023.☆55Updated last year