flyingdoog / awesome-graph-explainability-papers
Papers about explainability of GNNs
☆718Updated last month
Alternatives and similar repositories for awesome-graph-explainability-papers:
Users that are interested in awesome-graph-explainability-papers are comparing it to the libraries listed below
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,667Updated last year
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆936Updated 9 months ago
- A curated list of graph data augmentation papers.☆307Updated last year
- A curated list for awesome self-supervised learning for graphs.☆385Updated 2 years ago
- gnn explainer☆947Updated 7 months ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆253Updated 4 months ago
- Strategies for Pre-training Graph Neural Networks☆1,002Updated last year
- Recipe for a General, Powerful, Scalable Graph Transformer☆731Updated 9 months ago
- Bag of Tricks for Graph Neural Networks.☆293Updated 9 months ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆393Updated 10 months ago
- Papers about graph transformers.☆872Updated last month
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆327Updated last year
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- TGN: Temporal Graph Networks☆1,043Updated 10 months ago
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆510Updated 2 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆591Updated 9 months ago
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆352Updated last year
- Pytorch Geometric Tutorials☆1,102Updated 2 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆468Updated last year
- Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).☆639Updated 4 months ago
- ☆333Updated 3 months ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆186Updated 11 months ago
- Subgraph Neural Networks (NeurIPS 2020)☆193Updated 4 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆405Updated 3 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆348Updated 2 years ago
- A curated collection of adversarial attack and defense on graph data.☆565Updated last year
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆667Updated 2 years ago
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆194Updated 3 months ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆295Updated last year
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆187Updated last week