ChandlerBang / awesome-self-supervised-gnnLinks
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
☆1,684Updated last year
Alternatives and similar repositories for awesome-self-supervised-gnn
Users that are interested in awesome-self-supervised-gnn are comparing it to the libraries listed below
Sorting:
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆948Updated last year
- Strategies for Pre-training Graph Neural Networks☆1,036Updated 2 years ago
- Papers about explainability of GNNs☆752Updated 4 months ago
- gnn explainer☆997Updated last year
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,049Updated 2 years ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,831Updated last year
- Papers about graph transformers.☆908Updated 5 months ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,032Updated 4 months ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,623Updated 2 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆602Updated last year
- How Powerful are Graph Neural Networks?☆1,245Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆648Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆865Updated last year
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,214Updated 5 months ago
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆996Updated 4 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆675Updated 3 years ago
- TGN: Temporal Graph Networks☆1,099Updated last year
- Heterogeneous Graph Neural Network☆1,165Updated 5 years ago
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆663Updated last year
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,798Updated last year
- A library for graph deep learning research☆1,985Updated last year
- Pytorch Geometric Tutorials☆1,133Updated 2 years ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,342Updated last year
- Paper Lists for Graph Neural Networks☆2,273Updated last year
- Deep and conventional community detection related papers, implementations, datasets, and tools.☆540Updated last week
- Hyperbolic Graph Convolutional Networks in PyTorch.☆643Updated last year
- Recipe for a General, Powerful, Scalable Graph Transformer☆770Updated last year
- This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.