Alternatives and similar repositories for GLCN-tf

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

• murphyyhuang / gnn_hierarchical_pooling
  Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".
  ☆80Updated 5 years ago
• kavehhassani / mvgrl
  ☆267Updated 3 years ago
• bdy9527 / FAGCN
  ☆97Updated 4 years ago
• alge24 / eigenpooling
  An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"
  ☆49Updated 5 years ago
• zhumeiqiBUPT / AM-GCN
  AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
  ☆245Updated 4 years ago
• WxTu / DFCN
  AAAI 2021-Deep Fusion Clustering Network
  ☆81Updated last year
• CRIPAC-DIG / H-GCN
  [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
  ☆122Updated last year
• datake / AdaGCN
  Official Implementation of AdaGCN (ICLR 2021)
  ☆62Updated 3 years ago
• googlebaba / WWW2020-O2MAC
  WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering
  ☆87Updated 2 years ago
• ChengtaiCao / Meta-GNN
  ☆63Updated 2 years ago
• samihaija / mixhop
  Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…
  ☆124Updated 6 years ago
• TrustAGI-Lab / UDAGCN
  Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.
  ☆57Updated 4 years ago
• TrustAGI-Lab / ARGA
  This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …
  ☆184Updated 3 years ago
• jennyzhang0215 / GaAN
  ☆53Updated 5 years ago
• AvigdorZ / ADaptive-Structural-Fingerprint
  ☆29Updated 4 years ago
• dongkwan-kim / SuperGAT
  [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
  ☆158Updated 2 years ago
• zpeng27 / GMI
  Graph Representation Learning via Graphical Mutual Information Maximization
  ☆116Updated 5 years ago
• hengruizhang98 / mvgrl
  DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'
  ☆65Updated last year
• Shen-Lab / SS-GCNs
  [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
  ☆110Updated 4 years ago
• malllabiisc / HyperGCN
  NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
  ☆202Updated 4 years ago
• ihollywhy / FactorGCN.PyTorch
  Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20
  ☆51Updated 4 years ago
• Sean-Huang65 / AUX-TS
  official code for our KDD21 paper "Adaptive Transfer Learning on Graph Neural Networks"
  ☆42Updated 3 years ago
• MysteryVaibhav / RWR-GAE
  Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"
  ☆38Updated 2 years ago
• karenlatong / AGC-master
  ☆51Updated 3 years ago
• davide-belli / graphsage-diffpool-classifier
  Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers
  ☆33Updated 6 years ago
• ChandlerBang / SelfTask-GNN
  Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
  ☆97Updated 2 years ago
• pcy1302 / DMGI
  Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
  ☆149Updated 2 years ago
• AndyJZhao / HGSL
  Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks
  ☆117Updated 2 years ago
• ZhuangCY / DGCN
  Dual Graph Convolution Networks
  ☆95Updated 6 years ago
• bdy9527 / SDCN
  Structural Deep Clustering Network
  ☆281Updated 2 years ago