WilliamCCHuang / GraphLIMELinks
This is a Pytorch implementation of GraphLIME
☆94Updated 3 years ago
Alternatives and similar repositories for GraphLIME
Users that are interested in GraphLIME are comparing it to the libraries listed below
Sorting:
- Generating PGM Explanation for GNN predictions☆76Updated 2 years ago
- Parameterized Explainer for Graph Neural Network☆140Updated last year
- ☆55Updated 3 years ago
- ☆146Updated 4 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆48Updated last year
- Code for paper https://arxiv.org/abs/2102.13186☆43Updated 4 years ago
- ☆62Updated last week
- AAAI'21: Data Augmentation for Graph Neural Networks☆195Updated last year
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆234Updated 2 years ago
- Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"☆50Updated 3 years ago
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆62Updated 5 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆116Updated last year
- A curated list of publications and code about data augmentaion for graphs.☆63Updated 3 years ago
- ☆32Updated 2 years ago
- ☆45Updated 2 years ago
- Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021☆169Updated 2 years ago
- ☆19Updated 3 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Updated 4 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆107Updated 6 months ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆126Updated last year
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆173Updated last year
- ☆27Updated 11 months ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆49Updated last year
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆81Updated 3 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆212Updated 2 years ago
- ☆77Updated 4 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆203Updated last year
- Supervised community detection with line graph neural networks☆90Updated 5 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆89Updated 4 years ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆44Updated 5 years ago