LirongWu / awesome-graph-self-supervised-learning
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
☆1,406Updated 9 months ago
Alternatives and similar repositories for awesome-graph-self-supervised-learning
Users that are interested in awesome-graph-self-supervised-learning are comparing it to the libraries listed below
Sorting:
- A curated list for awesome graph representation learning resources.☆153Updated 2 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,675Updated last year
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆942Updated 10 months ago
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆591Updated 10 months ago
- A Unified Python Library for Graph Prompting☆543Updated this week
- Papers about explainability of GNNs☆727Updated 2 weeks ago
- A curated list of graph data augmentation papers.☆309Updated last year
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆328Updated last year
- Bag of Tricks for Graph Neural Networks.☆293Updated 9 months ago
- Papers on Graph neural network(GNN)☆766Updated last year
- Strategies for Pre-training Graph Neural Networks☆1,009Updated last year
- Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).☆646Updated 4 months ago
- Papers about developing deep Graph Neural Networks (GNNs)☆303Updated 2 years ago
- Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).☆910Updated last week
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆514Updated 2 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆304Updated last year
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆669Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆345Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆641Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆394Updated 11 months ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,026Updated 2 years ago
- Awesome Papers About Performing Prompting On Graphs☆386Updated last week
- This repository implements variational graph auto encoder by Thomas Kipf.☆407Updated 3 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆833Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆257Updated 5 months ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆492Updated 9 months ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆319Updated last year
- Graph Auto-Encoder in PyTorch☆432Updated last year