AntonioLonga / Explaining-the-Explainers-in-Graph-Neural-NetworksLinks
Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"
☆37Updated 2 years ago
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☆101Updated 3 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆83Updated 2 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆198Updated last year
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆104Updated 3 months ago
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆124Updated last year
- ☆85Updated 3 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
- ☆60Updated 3 years ago
- Code for our paper "Attending to Graph Transformers"☆91Updated last year
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- List of papers on NeurIPS2023☆89Updated last year
- This is a Pytorch implementation of GraphLIME☆94Updated 3 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆46Updated last year
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆82Updated 2 years ago
- Dynamic Graph Benchmark☆83Updated 2 years ago
- ☆55Updated 3 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆143Updated 8 months ago
- A list for GNNs and related works.☆101Updated 3 months ago
- Explanation method for Graph Neural Networks (GNNs)☆71Updated 6 months ago
- Generating PGM Explanation for GNN predictions☆75Updated 2 years ago
- ☆61Updated last year
- Materials for SDM 2023 tutorial: Augmentation Methods for Graph Learning☆21Updated 2 years ago
- Temporal Graph Benchmark project repo☆236Updated 3 weeks ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆99Updated 11 months ago
- A curated list of awesome Hypergraph Learning frameworks, libraries and software.☆23Updated 2 years ago
- Graph Positional and Structural Encoder☆53Updated 9 months ago
- Course Project for CS224W at Stanford☆22Updated 3 years ago
- A curated list of graph data augmentation papers.☆312Updated last year
- ☆27Updated 9 months ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆72Updated 2 years ago