Alternatives and similar repositories for gated-graph-neural-network-samples

Users that are interested in gated-graph-neural-network-samples are comparing it to the libraries listed below

• microsoft / tf-gnn-samples
  TensorFlow implementations of Graph Neural Networks
  ☆921Updated 2 years ago
• chingyaoc / ggnn.pytorch
  A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)
  ☆467Updated 6 years ago
• mdeff / cnn_graph
  Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  ☆1,361Updated 5 years ago
• tkipf / keras-gcn
  Keras implementation of Graph Convolutional Networks
  ☆791Updated 4 years ago
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,261Updated 2 years ago
• matenure / FastGCN
  The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
  ☆527Updated 4 years ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,237Updated 4 years ago
• dbusbridge / gcn_tutorial
  A tutorial on Graph Convolutional Neural Networks
  ☆318Updated 4 years ago
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,705Updated 5 years ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,028Updated 5 years ago
• tkipf / relational-gcn
  Keras-based implementation of Relational Graph Convolutional Networks
  ☆817Updated 6 years ago
• benedekrozemberczki / ClusterGCN
  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
  ☆800Updated 2 years ago
• yujiali / ggnn
  Gated Graph Sequence Neural Networks
  ☆276Updated 6 years ago
• JiaxuanYou / graph-generation
  GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
  ☆723Updated 3 years ago
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆919Updated 7 years ago
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆843Updated 3 years ago
• danielegrattarola / keras-gat
  Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
  ☆490Updated 4 years ago
• snap-stanford / GraphRNN
  ☆424Updated 6 years ago
• DeepGraphLearning / GMNN
  Graph Markov Neural Networks
  ☆411Updated 5 years ago
• hwwang55 / GraphGAN
  A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
  ☆535Updated 5 years ago
• SeongokRyu / Graph-neural-networks
  ☆519Updated 6 years ago
• jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
  Papers on Graph neural network(GNN)
  ☆766Updated last year
• RexYing / diffpool
  ☆493Updated 4 years ago
• palash1992 / GEM
  ☆1,286Updated last year
• kimiyoung / planetoid
  Semi-supervised learning with graph embeddings
  ☆923Updated 5 years ago
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,553Updated 11 months ago
• microsoft / tf2-gnn
  TensorFlow 2 library implementing Graph Neural Networks
  ☆374Updated 2 years ago
• TobiasSkovgaardJepsen / posts
  A repository for code accompanying my Medium posts.
  ☆65Updated 2 years ago
• JiaxuanYou / P-GNN
  Position-aware Graph Neural Networks
  ☆399Updated 4 years ago
• benedekrozemberczki / SimGNN
  A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
  ☆796Updated 2 years ago