Alternatives and similar repositories for embedded_gcnn

Users that are interested in embedded_gcnn are comparing it to the libraries listed below

• rusty1s / graph-based-image-classification
  Implementation of Planar Graph Convolutional Networks in TensorFlow
  ☆43Updated 8 years ago
• rusty1s / deep-learning-on-graphs
  ☆32Updated 8 years ago
• giannisnik / cnn-graph-classification
  A convolutional neural network for graph classification in PyTorch
  ☆91Updated 6 years ago
• xbresson / spatial_graph_convnets
  PyTorch implementation of residual gated graph ConvNets, ICLR’18
  ☆124Updated 7 years ago
• sk1712 / gcn_metric_learning
  Metric Learning with Graph Convolutional Neural Networks
  ☆208Updated 7 years ago
• bknyaz / bmvc_2019
  PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"
  ☆59Updated 5 years ago
• ZhuangCY / DGCN
  Dual Graph Convolution Networks
  ☆97Updated 7 years ago
• leowyy / GraphTSNE
  PyTorch Implementation of GraphTSNE, ICLR’19
  ☆137Updated 6 years ago
• bknyaz / graph_attention_pool
  Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
  ☆286Updated 5 years ago
• fps7806 / Graph-CNN
  Implementation of https://arxiv.org/abs/1703.00792.
  ☆44Updated 8 years ago
• xbresson / spectral_graph_convnets
  PyTorch implementation of spectral graph ConvNets, NeurIPS’16
  ☆292Updated 8 years ago
• guillaumejaume / graph-neural-networks-roadmap
  ☆216Updated 6 years ago
• malllabiisc / ConfGCN
  AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
  ☆59Updated 6 years ago
• horacepan / gnns
  Collection of graph neural networks in pytorch
  ☆50Updated 8 years ago
• youngjoo-epfl / gconvRNN
  Graph convolutional recurrent neural network
  ☆182Updated 7 years ago
• dawnranger / pytorch-AGNN
  Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
  ☆146Updated 7 years ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated 2 years ago
• ML-on-structures / graph-lstm
  LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods
  ☆79Updated 9 years ago
• bmsookim / graph-cnn.pytorch
  Pytorch Implementation for Graph Convolutional Neural Networks
  ☆329Updated 7 years ago
• mys007 / ecc
  Edge-Conditioned Convolutions on Graphs
  ☆230Updated 7 years ago
• dfdazac / dgi
  TensorFlow implementation of Deep Graph Infomax
  ☆62Updated 7 years ago
• dawenzi123 / DAGCN
  Dual Attention Graph Convolutional Network
  ☆90Updated 4 years ago
• mulinmeng / GraphU-Net
  pytorch geometric version
  ☆12Updated 6 years ago
• Luckick / EAGCN
  Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling
  ☆203Updated 4 years ago
• lrjconan / LanczosNetwork
  Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …
  ☆315Updated 6 years ago
• benedekrozemberczki / GAM
  A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
  ☆274Updated 3 years ago
• tvayer / PSCN
  A python implementation of Patchy-San Convolutional Network for Graph
  ☆41Updated 5 years ago
• vermaMachineLearning / Universal-Graph-Embedding-Neural-Network
  Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning
  ☆41Updated 6 years ago
• bwilder0 / clusternet
  Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"
  ☆91Updated 6 years ago
• c-hofer / nips2017
  Deprecated repository for "Deep Learning with Topological Signatures"
  ☆36Updated 5 years ago