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:
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆205Updated last year
- Explanation method for Graph Neural Networks (GNNs)☆71Updated 9 months ago
- Generating PGM Explanation for GNN predictions☆75Updated 2 years ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆174Updated last year
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 3 years ago
- ☆45Updated 2 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆50Updated last year
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆83Updated 2 years ago
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆63Updated 2 years ago
- Parameterized Explainer for Graph Neural Network☆142Updated last year
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆99Updated 2 years ago
- [KDD'23] Source codes of "Semi-Supervised Graph Imbalanced Regression"☆23Updated 7 months ago
- GNNExplainer implementation using DGL☆31Updated 4 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆90Updated last year
- ☆21Updated 4 years ago
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆183Updated 2 years ago
- Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"☆55Updated 2 years ago
- Graph Positional and Structural Encoder☆54Updated last year
- Code for our paper "Attending to Graph Transformers"☆91Updated 2 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆66Updated 3 years ago
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆52Updated 2 months ago
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022☆32Updated 2 years ago
- This is a Pytorch implementation of GraphLIME☆94Updated 4 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆87Updated 2 years ago
- Ensemble learning with graph neural networks for disease module discovery and classification☆11Updated 2 years ago
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆110Updated 7 months ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆101Updated last year
- Hierarchical Graph Net☆37Updated 4 years ago
- Official Implementation of Multi-Masked Aggregators for Graph Neural Networks in Pytorch and PyTorch Geometric☆11Updated 2 years ago
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆66Updated last year