Alternatives and similar repositories for R-GAE

Users that are interested in R-GAE are comparing it to the libraries listed below

• TrustAGI-Lab / SUBLIME
  [WWW'22] Towards Unsupervised Deep Graph Structure Learning
  ☆143Updated 2 years ago
• Panern / MCGC
  ☆54Updated 3 years ago
• IMKBLE / MAGCN
  ☆39Updated 4 years ago
• ZhihaoPENG-CityU / MM21---AGCN
  The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.
  ☆36Updated last year
• EdisonLeeeee / MaskGAE
  [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
  ☆89Updated last year
• zyzisastudyreallyhardguy / Graph-Group-Discrimination
  Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…
  ☆56Updated 2 years ago
• hyzhang98 / EGAE
  [TNNLS 2022] Embedding Graph Auto-Encoder for Graph Clustering
  ☆25Updated 3 years ago
• qiaoyu-tan / S2GAE
  ☆49Updated 2 years ago
• hengruizhang98 / mvgrl
  DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'
  ☆67Updated last year
• yuwvandy / DPGNN
  ☆38Updated 2 years ago
• liun-online / HeCo
  The source code of HeCo
  ☆168Updated 3 years ago
• bdy9527 / FAGCN
  ☆98Updated 4 years ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆116Updated 7 months ago
• Sean-Huang65 / AUX-TS
  official code for our KDD21 paper "Adaptive Transfer Learning on Graph Neural Networks"
  ☆43Updated 3 years ago
• junxia97 / SimGRACE
  [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
  ☆81Updated 3 years ago
• jindi-tju / U-GCN
  Source code of "NeurIPS21 - Universal Graph Convolutional Networks"
  ☆20Updated 3 years ago
• WxTu / DFCN
  AAAI 2021-Deep Fusion Clustering Network
  ☆81Updated last year
• shenxiaocam / NCLA
  Neighbor Contrastive Learning on Learnable Graph Augmentation
  ☆37Updated last year
• dongwei156 / n2n
  This project involves the code and supplementary materials of paper "Node Representation Learning in Graph via Node-to-Neighbourhood Mutu…
  ☆35Updated 2 years ago
• hengruizhang98 / CCA-SSG
  Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484
  ☆69Updated last year
• liangchundong / HGNN-AC
  Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"
  ☆35Updated 4 years ago
• SongtaoLiu0823 / LAGNN
  [ICML 2022] Local Augmentation for Graph Neural Networks
  ☆65Updated last year
• baoyujing / HDMI
  ☆28Updated 4 years ago
• BorealisAI / SLAPS-GNN
  PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
  ☆89Updated 4 years ago
• nerdslab / bgrl
  PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)
  ☆82Updated 2 years ago
• yueliu1999 / RGC
  [ACM MM 2023] An official source code for paper Reinforcement Graph Clustering with Unknown Cluster Number.
  ☆39Updated last year
• ChandlerBang / AutoSSL
  [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"
  ☆42Updated 3 years ago
• jianhao2016 / GPRGNN
  ☆138Updated 2 years ago
• kavehhassani / mvgrl
  ☆272Updated 3 years ago
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆61Updated 4 years ago