Alternatives and similar repositories for ggnn:

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

• chingyaoc / ggnn.pytorch
  A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)
  ☆466Updated 5 years ago
• shagunsodhani / Graph-Reading-Group
  Weekly reading group on Graphs at Mila
  ☆280Updated 5 years ago
• microsoft / graph-partition-neural-network-samples
  Sample Code for Graph Partition Neural Networks
  ☆94Updated 5 years ago
• matenure / FastGCN
  The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
  ☆521Updated 3 years ago
• youngjoo-epfl / gconvRNN
  Graph convolutional recurrent neural network
  ☆179Updated 6 years ago
• snap-stanford / GraphRNN
  ☆416Updated 5 years ago
• lrjconan / LanczosNetwork
  Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …
  ☆312Updated 5 years ago
• bkj / pytorch-graphsage
  Representation learning on large graphs using stochastic graph convolutions.
  ☆139Updated 6 years ago
• danieldjohnson / gated-graph-transformer-network
  Code to accompany the paper "Learning Graphical State Transitions"
  ☆169Updated 7 years ago
• JiaxuanYou / P-GNN
  Position-aware Graph Neural Networks
  ☆398Updated 4 years ago
• huangwb / AS-GCN
  tensorflow-as-gcn
  ☆92Updated 5 years ago
• xbresson / spatial_graph_convnets
  PyTorch implementation of residual gated graph ConvNets, ICLR’18
  ☆120Updated 6 years ago
• divelab / lgcn
  ☆136Updated 4 years ago
• Hanjun-Dai / graphnn
  Training computational graph on top of structured data (string, graph, etc)
  ☆288Updated 4 years ago
• JiaxuanYou / graph-generation
  GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
  ☆708Updated 3 years ago
• Luckick / EAGCN
  Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling
  ☆202Updated 3 years ago
• RexYing / diffpool
  ☆485Updated 4 years ago
• DeepGraphLearning / GMNN
  Graph Markov Neural Networks
  ☆403Updated 4 years ago
• dfdazac / dgi
  TensorFlow implementation of Deep Graph Infomax
  ☆63Updated 6 years ago
• dbusbridge / gcn_tutorial
  A tutorial on Graph Convolutional Neural Networks
  ☆317Updated 4 years ago
• Hanjun-Dai / pytorch_structure2vec
  pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)
  ☆311Updated 5 years ago
• pcyin / pytorch-gated-graph-neural-network
  A simple Pytorch implementation of Gated Graph Neural Networks
  ☆58Updated 6 years ago
• annamalai-nr / graph2vec_tf
  This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".
  ☆155Updated 7 years ago
• benedekrozemberczki / MixHop-and-N-GCN
  An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
  ☆403Updated 2 years ago
• microsoft / gated-graph-neural-network-samples
  Sample Code for Gated Graph Neural Networks
  ☆1,028Updated 5 years ago
• danielzuegner / netgan
  Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
  ☆194Updated 4 years ago
• snap-stanford / graphwave
  ☆171Updated 6 years ago
• fmonti / mgcnn
  Multi-Graph Convolutional Neural Networks
  ☆252Updated 6 years ago
• horacepan / gnns
  Collection of graph neural networks in pytorch
  ☆50Updated 7 years ago
• dawnranger / pytorch-AGNN
  Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
  ☆146Updated 7 years ago