Alternatives and similar repositories for gnns

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

• lrjconan / LanczosNetwork
  Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …
  ☆314Updated 5 years ago
• Luckick / EAGCN
  Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling
  ☆203Updated 3 years ago
• youngjoo-epfl / gconvRNN
  Graph convolutional recurrent neural network
  ☆180Updated 7 years ago
• fps7806 / Graph-CNN
  Implementation of https://arxiv.org/abs/1703.00792.
  ☆46Updated 7 years ago
• xbresson / spatial_graph_convnets
  PyTorch implementation of residual gated graph ConvNets, ICLR’18
  ☆122Updated 6 years ago
• xbresson / spectral_graph_convnets
  PyTorch implementation of spectral graph ConvNets, NeurIPS’16
  ☆290Updated 7 years ago
• giannisnik / cnn-graph-classification
  A convolutional neural network for graph classification in PyTorch
  ☆91Updated 6 years ago
• dfdazac / dgi
  TensorFlow implementation of Deep Graph Infomax
  ☆62Updated 6 years ago
• priba / nmp_qc
  Our own implementation of Neural Message Passing for Computer Vision paper
  ☆341Updated 5 years ago
• mys007 / ecc
  Edge-Conditioned Convolutions on Graphs
  ☆231Updated 6 years ago
• VoVAllen / diffpool
  ☆37Updated 6 years ago
• dawnranger / pytorch-AGNN
  Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
  ☆145Updated 7 years ago
• plai-group / gae_in_pytorch
  Graph Auto-Encoder in PyTorch
  ☆81Updated 2 years ago
• dimkastan / PyTorch-Spectral-clustering
  [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
  ☆163Updated 7 years ago
• danielzuegner / netgan
  Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
  ☆195Updated 4 years ago
• bmsookim / graph-cnn.pytorch
  Pytorch Implementation for Graph Convolutional Neural Networks
  ☆326Updated 6 years ago
• leowyy / GraphTSNE
  PyTorch Implementation of GraphTSNE, ICLR’19
  ☆135Updated 6 years ago
• ermongroup / graphite
  Code for Graphite iterative graph generation
  ☆59Updated 6 years ago
• microsoft / graph-partition-neural-network-samples
  Sample Code for Graph Partition Neural Networks
  ☆94Updated 6 years ago
• snap-stanford / GraphRNN
  ☆423Updated 6 years ago
• pierrebaque / GeometricConvolutionsBench
  ☆33Updated 7 years ago
• bknyaz / graph_attention_pool
  Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
  ☆285Updated 4 years ago
• rusty1s / embedded_gcnn
  Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow
  ☆78Updated 7 years ago
• huangwb / AS-GCN
  tensorflow-as-gcn
  ☆90Updated 5 years ago
• Hanjun-Dai / steady_state_embedding
  Learning Steady-States of Iterative Algorithms over Graphs
  ☆40Updated 6 years ago
• sk1712 / gcn_metric_learning
  Metric Learning with Graph Convolutional Neural Networks
  ☆206Updated 6 years ago
• yujiali / ggnn
  Gated Graph Sequence Neural Networks
  ☆276Updated 6 years ago
• KaihuaTang / GGNN-for-bAbI-dataset.pytorch.1.0
  A Complete PyTorch 1.0 Implementation of Gated Graph Sequence Neural Networks (GGNN)
  ☆55Updated 3 years ago
• jcatw / dcnn
  An implementation of Diffusion-Convolutional Neural Networks in Lasagne and Theano.
  ☆34Updated 8 years ago
• johncava / GCN-pytorch
  Pytorch Implementation of Graph Convolutional Neural Networks
  ☆111Updated 7 years ago