Shen-Lab / GraphCLLinks
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
☆605Updated last year
Alternatives and similar repositories for GraphCL
Users that are interested in GraphCL are comparing it to the libraries listed below
Sorting:
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆333Updated last year
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- ☆272Updated 3 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆950Updated last year
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆328Updated 2 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆473Updated 2 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆320Updated last year
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆545Updated 2 years ago
- Bag of Tricks for Graph Neural Networks.☆298Updated last year
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆332Updated 2 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆299Updated 2 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆177Updated last year
- ☆301Updated 3 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆195Updated last year
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆650Updated 2 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆211Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆356Updated 5 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆416Updated 4 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆299Updated 2 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆202Updated 4 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆497Updated last year
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆867Updated last year
- A curated list of graph data augmentation papers.☆312Updated last year
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆231Updated 2 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,050Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆482Updated 6 years ago
- Graph Auto-Encoder in PyTorch☆438Updated last year
- Strategies for Pre-training Graph Neural Networks☆1,039Updated 2 years ago
- The source code of HeCo☆168Updated 3 years ago
- Official Pytorch code for Structure-Aware Transformer.☆258Updated 2 years ago