Alternatives and similar repositories for ggnn.pytorch

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

• yujiali / ggnn
  Gated Graph Sequence Neural Networks
  ☆276Updated 7 years ago
• snap-stanford / GraphRNN
  ☆432Updated 6 years ago
• RexYing / diffpool
  ☆503Updated 4 years ago
• JiaxuanYou / P-GNN
  Position-aware Graph Neural Networks
  ☆399Updated 5 years ago
• matenure / FastGCN
  The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
  ☆528Updated 4 years ago
• DeepGraphLearning / GMNN
  Graph Markov Neural Networks
  ☆410Updated 5 years ago
• inyeoplee77 / SAGPool
  Official PyTorch Implementation of SAGPool - ICML 2019
  ☆372Updated 2 years ago
• JiaxuanYou / graph-generation
  GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
  ☆736Updated 3 years ago
• hwwang55 / GraphGAN
  A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
  ☆538Updated 6 years ago
• microsoft / gated-graph-neural-network-samples
  Sample Code for Gated Graph Neural Networks
  ☆1,027Updated 6 years ago
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆919Updated 7 years ago
• bmsookim / graph-cnn.pytorch
  Pytorch Implementation for Graph Convolutional Neural Networks
  ☆329Updated 7 years ago
• bknyaz / graph_nn
  Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
  ☆336Updated 5 years ago
• tkipf / relational-gcn
  Keras-based implementation of Relational Graph Convolutional Networks
  ☆818Updated 6 years ago
• dbusbridge / gcn_tutorial
  A tutorial on Graph Convolutional Neural Networks
  ☆319Updated 5 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
• lrjconan / LanczosNetwork
  Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …
  ☆315Updated 6 years ago
• muhanzhang / pytorch_DGCNN
  PyTorch implementation of DGCNN
  ☆394Updated 2 years ago
• danielegrattarola / keras-gat
  Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
  ☆493Updated 5 years ago
• bkj / pytorch-graphsage
  Representation learning on large graphs using stochastic graph convolutions.
  ☆143Updated 7 years ago
• danielzuegner / netgan
  Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
  ☆196Updated 5 years ago
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆846Updated 4 years ago
• microsoft / graph-partition-neural-network-samples
  Sample Code for Graph Partition Neural Networks
  ☆94Updated 6 years ago
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆659Updated 3 years ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,261Updated 4 years ago
• johncava / GCN-pytorch
  Pytorch Implementation of Graph Convolutional Neural Networks
  ☆111Updated 8 years ago
• dawnranger / pytorch-AGNN
  Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
  ☆146Updated 7 years ago
• huangwb / AS-GCN
  tensorflow-as-gcn
  ☆89Updated 6 years ago
• youngjoo-epfl / gconvRNN
  Graph convolutional recurrent neural network
  ☆182Updated 7 years ago
• bknyaz / graph_attention_pool
  Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
  ☆286Updated 5 years ago