Alternatives and similar repositories for GLCN-tf

Users that are interested in GLCN-tf are comparing it to the libraries listed below

• WxTu / DFCN
  AAAI 2021-Deep Fusion Clustering Network
  ☆84Updated last year
• kavehhassani / mvgrl
  ☆276Updated 3 years ago
• datake / AdaGCN
  Official Implementation of AdaGCN (ICLR 2021)
  ☆63Updated 3 years ago
• ChengtaiCao / Meta-GNN
  ☆68Updated 3 years ago
• murphyyhuang / gnn_hierarchical_pooling
  Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".
  ☆83Updated 6 years ago
• CRIPAC-DIG / H-GCN
  [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
  ☆123Updated last year
• hengruizhang98 / CCA-SSG
  Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484
  ☆70Updated 2 years ago
• zhumeiqiBUPT / AM-GCN
  AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
  ☆252Updated 5 years ago
• googlebaba / WWW2020-O2MAC
  WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering
  ☆89Updated 2 years ago
• Shen-Lab / SS-GCNs
  [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
  ☆112Updated 4 years ago
• zpeng27 / GMI
  Graph Representation Learning via Graphical Mutual Information Maximization
  ☆118Updated 5 years ago
• ChandlerBang / SelfTask-GNN
  Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
  ☆97Updated 2 years ago
• dongkwan-kim / SuperGAT
  [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
  ☆159Updated 2 years ago
• TrustAGI-Lab / UDAGCN
  Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.
  ☆58Updated 4 years ago
• alge24 / eigenpooling
  An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"
  ☆50Updated 6 years ago
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆61Updated 4 years ago
• hengruizhang98 / mvgrl
  DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'
  ☆68Updated last year
• TrustAGI-Lab / ARGA
  This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …
  ☆187Updated 3 years ago
• samihaija / mixhop
  Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…
  ☆125Updated 6 years ago
• liangchundong / HGNN-AC
  Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"
  ☆35Updated 4 years ago
• bdy9527 / FAGCN
  ☆99Updated 4 years ago
• ZhuangCY / DGCN
  Dual Graph Convolution Networks
  ☆96Updated 6 years ago
• ihollywhy / FactorGCN.PyTorch
  Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20
  ☆51Updated 4 years ago
• AvigdorZ / ADaptive-Structural-Fingerprint
  ☆30Updated 5 years ago
• jennyzhang0215 / GaAN
  ☆53Updated 6 years ago
• xdweixia / SGCMC
  The Tensorflow Implementation of paper Self-supervised Graph Convolutional Network For Multi-view Clustering
  ☆36Updated 3 years ago
• TrustAGI-Lab / SUBLIME
  [WWW'22] Towards Unsupervised Deep Graph Structure Learning
  ☆143Updated 3 years ago
• MysteryVaibhav / RWR-GAE
  Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"
  ☆38Updated 2 years ago
• Sean-Huang65 / AUX-TS
  official code for our KDD21 paper "Adaptive Transfer Learning on Graph Neural Networks"
  ☆43Updated 3 years ago
• TrustAGI-Lab / MERIT
  [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".
  ☆40Updated 3 years ago