AntonioLonga / Explaining-the-Explainers-in-Graph-Neural-Networks
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
- here you can find the material used for our Tutorials☆100Updated 3 years ago
- A curated list of publications and code about data augmentaion for graphs.☆64Updated 2 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆184Updated 9 months ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆43Updated 11 months ago
- Dynamic Graph Benchmark☆74Updated 2 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆75Updated last year
- ☆21Updated last year
- ☆27Updated 2 months ago
- List of papers on NeurIPS2023☆89Updated last year
- ☆55Updated 2 years ago
- ☆55Updated 2 years ago
- ☆80Updated 2 years ago
- Code for our paper "Attending to Graph Transformers"☆85Updated last year
- A collection of resources on attention-based graph neural networks☆64Updated last year
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆55Updated 2 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 3 years ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆67Updated 5 months ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆41Updated 3 months ago
- Explanation method for Graph Neural Networks (GNNs)☆64Updated 3 years ago
- Implement EvolveGCN by DGL.☆25Updated 3 years ago
- [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?☆55Updated 6 months ago
- Materials for SDM 2023 tutorial: Augmentation Methods for Graph Learning☆21Updated last year
- ☆55Updated 7 months ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆66Updated 2 years ago
- This is a Pytorch implementation of GraphLIME☆90Updated 3 years ago
- List of papers on ICML2023.☆55Updated last year
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆89Updated 10 months ago
- ☆42Updated 7 months ago
- GLASS: GNN with Labeling Tricks for Subgraph Representation Learning☆31Updated 2 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆56Updated last year