Alternatives and similar repositories for GCN-TF2:

Users that are interested in GCN-TF2 are comparing it to the libraries listed below

• XinyiZ001 / CapsGNN
  Tensorflow implementation of Capsule Graph Neural Network
  ☆75Updated 3 years ago
• Eilene / GWNN
  A TensorFlow implementation of Graph Wavelet Neural Network
  ☆65Updated 6 years ago
• zhulf0804 / GCN.PyTorch
  Graph Convolutional Networks for Text Classification.
  ☆45Updated 5 years ago
• dawenzi123 / DAGCN
  Dual Attention Graph Convolutional Network
  ☆88Updated 3 years ago
• shuowang-ai / GeniePath-pytorch
  This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…
  ☆104Updated 7 months ago
• CRIPAC-DIG / H-GCN
  [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
  ☆121Updated 10 months ago
• divelab / lgcn
  ☆136Updated 4 years ago
• xchadesi / GPF
  GPF（Graph Processing Flow）：利用图神经网络处理问题的一般化流程
  ☆91Updated 6 years ago
• zhouchunpong / GCN_Keras
  图卷积神经网络 Graph Convolutional Network with Keras
  ☆160Updated last year
• cshjin / GCN-TF2.0
  Vanilla Implementation of Graph Convolutional Networks
  ☆16Updated 4 years ago
• jiangqn / GCN-GAN-pytorch
  A pytorch implemention of GCN-GAN for temporal link prediction.
  ☆103Updated 5 years ago
• ShinKyuY / Graph_Neural_Net
  Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop
  ☆30Updated 4 years ago
• matenure / mvGAE
  Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)
  ☆32Updated 5 years ago
• zhuhm1996 / bgnn
  bilinear graph neural network
  ☆29Updated 4 years ago
• Villafly / DeepLinker
  ☆26Updated 5 years ago
• jennyzhang0215 / GaAN
  ☆53Updated 5 years ago
• graph-star-team / graph_star
  Graph Star Net
  ☆110Updated last year
• leichaocn / graph_representation_learning
  ☆37Updated 5 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
• limaosen0 / Variational-Graph-Auto-Encoders
  This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.
  ☆74Updated 6 years ago
• chengsen / Awesome-Graph-Papers
  Collect papers about graph
  ☆75Updated 4 years ago
• MrLeeeee / GCN-GAT-and-Graphsage
  The code for GCN, GAT and Graphsage based on pytorch.
  ☆60Updated last year
• thu-ml / stochastic_gcn
  Stochastic training of graph convolutional networks
  ☆85Updated 2 years ago
• jennyzhang0215 / STAR-GCN
  STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
  ☆107Updated 4 years ago
• didi / hetsann
  Source Codes of HetSANN in the AAAI'20 paper: An Attention-based Graph Nerual Network for Heterogeneous Structural Learning.
  ☆145Updated 4 years ago
• bkj / pytorch-graphsage
  Representation learning on large graphs using stochastic graph convolutions.
  ☆138Updated 6 years ago
• aravindsankar28 / Meta-GNN
  Implementation of Meta-GNN in TensorFlow
  ☆47Updated 3 years ago
• yifan-h / CS-GNN
  Measuring and Improving the Use of Graph Information in Graph Neural Networks
  ☆82Updated 7 months ago
• CyberZHG / keras-gcn
  Graph convolutional layers
  ☆62Updated 3 years ago
• ZhuangCY / DGCN
  Dual Graph Convolution Networks
  ☆93Updated 6 years ago