Alternatives and similar repositories for graph-attention-nets

Users that are interested in graph-attention-nets are comparing it to the libraries listed below

• rusty1s / embedded_gcnn
  Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow
  ☆78Updated 6 years ago
• sk1712 / gcn_metric_learning
  Metric Learning with Graph Convolutional Neural Networks
  ☆206Updated 6 years ago
• bknyaz / graph_attention_pool
  Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
  ☆284Updated 4 years ago
• fps7806 / Graph-CNN
  Implementation of https://arxiv.org/abs/1703.00792.
  ☆46Updated 7 years ago
• youngjoo-epfl / gconvRNN
  Graph convolutional recurrent neural network
  ☆179Updated 7 years ago
• Eilene / GWNN
  A TensorFlow implementation of Graph Wavelet Neural Network
  ☆66Updated 6 years ago
• rusty1s / graph-based-image-classification
  Implementation of Planar Graph Convolutional Networks in TensorFlow
  ☆43Updated 8 years ago
• sheryl-ai / MVGCN
  Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)
  ☆101Updated 5 years ago
• dweiiiiiiiiii / Clustering
  ☆20Updated 6 years ago
• bknyaz / examples
  Some code examples
  ☆44Updated 5 years ago
• giannisnik / cnn-graph-classification
  A convolutional neural network for graph classification in PyTorch
  ☆91Updated 6 years ago
• bknyaz / graph_nn
  Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
  ☆333Updated 4 years ago
• dawnranger / pytorch-AGNN
  Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
  ☆145Updated 7 years ago
• ZhuangCY / DGCN
  Dual Graph Convolution Networks
  ☆95Updated 6 years ago
• pierrebaque / GeometricConvolutionsBench
  ☆33Updated 7 years ago
• xbresson / spatial_graph_convnets
  PyTorch implementation of residual gated graph ConvNets, ICLR’18
  ☆122Updated 6 years ago
• bmsookim / graph-cnn.pytorch
  Pytorch Implementation for Graph Convolutional Neural Networks
  ☆326Updated 6 years ago
• mulinmeng / GraphU-Net
  pytorch geometric version
  ☆12Updated 5 years ago
• xbresson / spectral_graph_convnets
  PyTorch implementation of spectral graph ConvNets, NeurIPS’16
  ☆290Updated 7 years ago
• snehchav / Semi-Supervised-Image-Classification
  The code written on the understanding of the paper: "Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabel…
  ☆18Updated 7 years ago
• vermaMachineLearning / keras-deep-graph-learning
  Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning
  ☆103Updated 2 years ago
• DeepLearnPhysics / dynamic-gcnn
  Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation
  ☆65Updated 6 years ago
• rusty1s / deep-learning-on-graphs
  ☆32Updated 7 years ago
• plai-group / gae_in_pytorch
  Graph Auto-Encoder in PyTorch
  ☆81Updated 2 years ago
• DebasmitaGhose / PyTorch_Graph_Neural_Network_MNIST
  Example code to train a Graph Neural Network on the MNIST dataset in PyTorch for Digit Classification
  ☆28Updated 5 years ago
• avijit9 / Contractive_Autoencoder_in_Pytorch
  Pytorch implementation of contractive autoencoder on MNIST dataset
  ☆53Updated 7 years ago
• raj-shah / BayesianCNN
  Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015
  ☆36Updated 6 years ago
• sw-gong / MoNet
  Pytorch reproduction of the paper "Gaussian Mixture Model Convolutional Networks" (CVPR 17)
  ☆58Updated 5 years ago
• huawei-noah / BGCN
  A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
  ☆159Updated 5 years ago
• benedekrozemberczki / GAM
  A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
  ☆273Updated 2 years ago