Alternatives and similar repositories for GraphCL:

Users that are interested in GraphCL are comparing it to the libraries listed below

• CRIPAC-DIG / GRACE
  [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
  ☆325Updated 10 months ago
• SXKDZ / awesome-self-supervised-learning-for-graphs
  A curated list for awesome self-supervised learning for graphs.
  ☆380Updated 2 years ago
• THUDM / GCC
  GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020
  ☆326Updated last year
• PyGCL / PyGCL
  PyGCL: A PyTorch Library for Graph Contrastive Learning
  ☆925Updated 8 months ago
• kavehhassani / mvgrl
  ☆263Updated 2 years ago
• snap-stanford / pretrain-gnns
  Strategies for Pre-training Graph Neural Networks
  ☆990Updated last year
• mengliu1998 / awesome-deep-gnn
  Papers about developing deep Graph Neural Networks (GNNs)
  ☆302Updated last year
• DropEdge / DropEdge
  This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
  ☆471Updated 2 years ago
• sunfanyunn / InfoGraph
  Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …
  ☆318Updated last year
• acbull / GPT-GNN
  Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
  ☆492Updated 7 months ago
• sangyx / gtrick
  Bag of Tricks for Graph Neural Networks.
  ☆291Updated 8 months ago
• bingzhewei / geom-gcn
  ☆295Updated 2 years ago
• THUDM / GraphMAE
  GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
  ☆500Updated last year
• chennnM / GCNII
  PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
  ☆344Updated 4 years ago
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆636Updated 2 years ago
• CRIPAC-DIG / GCA
  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
  ☆168Updated 10 months ago
• DaehanKim / vgae_pytorch
  This repository implements variational graph auto encoder by Thomas Kipf.
  ☆403Updated 3 years ago
• THUDM / HGB
  Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.
  ☆316Updated last year
• zhao-tong / graph-data-augmentation-papers
  A curated list of graph data augmentation papers.
  ☆306Updated 11 months ago
• THUDM / GRAND
  Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
  ☆209Updated last year
• acbull / pyHGT
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
  ☆818Updated last year
• ChandlerBang / Pro-GNN
  Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
  ☆290Updated last year
• seongjunyun / Graph_Transformer_Networks
  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
  ☆1,007Updated 2 years ago
• hugochan / IDGL
  Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…
  ☆226Updated last year
• zfjsail / gae-pytorch
  Graph Auto-Encoder in PyTorch
  ☆426Updated last year
• HazyResearch / hgcn
  Hyperbolic Graph Convolutional Networks in PyTorch.
  ☆610Updated 7 months ago
• ChandlerBang / awesome-self-supervised-gnn
  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
  ☆1,650Updated last year
• cynricfu / MAGNN
  Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
  ☆408Updated 4 years ago
• zhao-tong / GAug
  AAAI'21: Data Augmentation for Graph Neural Networks
  ☆189Updated 10 months ago
• yangji9181 / HNE
  Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond
  ☆257Updated 4 years ago