LirongWu / awesome-graph-self-supervised-learningLinks
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
☆1,408Updated 10 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:
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,681Updated last year
- A curated list for awesome graph representation learning resources.☆153Updated 2 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆943Updated 11 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…☆595Updated 11 months ago
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).☆659Updated 3 weeks ago
- Strategies for Pre-training Graph Neural Networks☆1,019Updated last year
- Papers about explainability of GNNs☆740Updated last month
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆309Updated last year
- AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets☆1,308Updated 6 months ago
- A curated list of graph data augmentation papers.☆312Updated last year
- A Unified Python Library for Graph Prompting☆551Updated last month
- Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).☆923Updated last month
- Bag of Tricks for Graph Neural Networks.☆295Updated 11 months ago
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆525Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆395Updated last year
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆493Updated 11 months ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆642Updated 2 years ago
- Papers on Graph neural network(GNN)☆766Updated last year
- This repository implements variational graph auto encoder by Thomas Kipf.☆410Updated 3 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆672Updated 2 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆470Updated last year
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆330Updated last year
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆472Updated 2 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆328Updated last year
- Subgraph Neural Networks (NeurIPS 2020)☆200Updated 4 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆474Updated 6 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,030Updated 2 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆298Updated 2 years ago