HipGraph / GNNShapLinks
[The Web Conference 2024] GNNShap: Scalable and Accurate GNN Explanation using Shapley Values
☆41Updated last year
Alternatives and similar repositories for GNNShap
Users that are interested in GNNShap are comparing it to the libraries listed below
Sorting:
- Explanation method for Graph Neural Networks (GNNs)☆71Updated 6 months ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆200Updated last year
- ☆45Updated 2 years ago
- Generating PGM Explanation for GNN predictions☆76Updated 2 years ago
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆108Updated 4 months ago
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆64Updated last year
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆97Updated last year
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆46Updated last year
- [KDD'23] Source codes of "Semi-Supervised Graph Imbalanced Regression"☆22Updated 5 months ago
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆173Updated 2 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
- ☆21Updated 4 years ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆37Updated 2 years ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆171Updated last year
- GNNExplainer implementation using DGL☆31Updated 4 years ago
- Parameterized Explainer for Graph Neural Network☆139Updated last year
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆63Updated last year
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆45Updated last week
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆101Updated last year
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆89Updated last year
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆83Updated 2 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆143Updated 9 months ago
- This is a Pytorch implementation of GraphLIME☆94Updated 3 years ago
- A list for GNNs and related works.☆101Updated 4 months ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆48Updated last year
- ☆55Updated 3 years ago
- Ensemble learning with graph neural networks for disease module discovery and classification☆11Updated 2 years ago
- ☆49Updated last year
- ☆62Updated 3 years ago
- Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"☆55Updated 2 years ago