Alternatives and similar repositories for embedded_gcnn

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

• giannisnik / cnn-graph-classification
  A convolutional neural network for graph classification in PyTorch
  ☆91Updated 6 years ago
• rusty1s / deep-learning-on-graphs
  ☆32Updated 7 years ago
• rusty1s / graph-based-image-classification
  Implementation of Planar Graph Convolutional Networks in TensorFlow
  ☆43Updated 8 years ago
• ZhuangCY / DGCN
  Dual Graph Convolution Networks
  ☆96Updated 6 years ago
• bknyaz / bmvc_2019
  PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"
  ☆60Updated 4 years ago
• bknyaz / graph_attention_pool
  Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
  ☆285Updated 4 years ago
• leowyy / GraphTSNE
  PyTorch Implementation of GraphTSNE, ICLR’19
  ☆137Updated 6 years ago
• xbresson / spatial_graph_convnets
  PyTorch implementation of residual gated graph ConvNets, ICLR’18
  ☆123Updated 6 years ago
• sk1712 / gcn_metric_learning
  Metric Learning with Graph Convolutional Neural Networks
  ☆207Updated 6 years ago
• fps7806 / Graph-CNN
  Implementation of https://arxiv.org/abs/1703.00792.
  ☆45Updated 7 years ago
• horacepan / gnns
  Collection of graph neural networks in pytorch
  ☆50Updated 7 years ago
• malllabiisc / ConfGCN
  AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
  ☆59Updated 6 years ago
• xbresson / spectral_graph_convnets
  PyTorch implementation of spectral graph ConvNets, NeurIPS’16
  ☆291Updated 7 years ago
• Luckick / EAGCN
  Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling
  ☆204Updated 3 years ago
• dawnranger / pytorch-AGNN
  Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
  ☆146Updated 7 years ago
• DeepLearnPhysics / dynamic-gcnn
  Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation
  ☆65Updated 6 years ago
• bmsookim / graph-cnn.pytorch
  Pytorch Implementation for Graph Convolutional Neural Networks
  ☆325Updated 7 years ago
• youngjoo-epfl / gconvRNN
  Graph convolutional recurrent neural network
  ☆181Updated 7 years ago
• ML-on-structures / graph-lstm
  LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods
  ☆80Updated 8 years ago
• vermaMachineLearning / Universal-Graph-Embedding-Neural-Network
  Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning
  ☆40Updated 5 years ago
• guillaumejaume / graph-neural-networks-roadmap
  ☆217Updated 5 years ago
• Tixierae / graph_2D_CNN
  Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D C…
  ☆77Updated 5 years ago
• plai-group / gae_in_pytorch
  Graph Auto-Encoder in PyTorch
  ☆81Updated 2 years ago
• dawenzi123 / DAGCN
  Dual Attention Graph Convolutional Network
  ☆90Updated 4 years ago
• lrjconan / LanczosNetwork
  Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …
  ☆314Updated 5 years ago
• yuj-umd / graphRNN
  Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"
  ☆29Updated 6 years ago
• XinyiZ001 / CapsGNN
  Tensorflow implementation of Capsule Graph Neural Network
  ☆75Updated 4 years ago
• hechtlinger / graph_cnn
  Supplementary code to "Convolutional Neural Networks Generalization Utilizing the Data Graph Structure"
  ☆50Updated 8 years ago
• mys007 / ecc
  Edge-Conditioned Convolutions on Graphs
  ☆230Updated 6 years ago
• dfdazac / dgi
  TensorFlow implementation of Deep Graph Infomax
  ☆62Updated 6 years ago