Alternatives and similar repositories for keras-gcn

Users that are interested in keras-gcn are comparing it to the libraries listed below

• mdeff / cnn_graph
  Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  ☆1,363Updated 5 years ago
• danielegrattarola / keras-gat
  Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
  ☆489Updated 4 years ago
• matenure / FastGCN
  The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
  ☆526Updated 4 years ago
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆920Updated 7 years ago
• kimiyoung / planetoid
  Semi-supervised learning with graph embeddings
  ☆926Updated 5 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
  ☆1,712Updated 5 years ago
• tkipf / relational-gcn
  Keras-based implementation of Relational Graph Convolutional Networks
  ☆818Updated 6 years ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,030Updated 5 years ago
• microsoft / gated-graph-neural-network-samples
  Sample Code for Gated Graph Neural Networks
  ☆1,027Updated 5 years ago
• benedekrozemberczki / ClusterGCN
  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
  ☆802Updated 2 years ago
• TobiasSkovgaardJepsen / posts
  A repository for code accompanying my Medium posts.
  ☆65Updated 2 years ago
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆845Updated 3 years ago
• hwwang55 / GraphGAN
  A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
  ☆535Updated 5 years ago
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,268Updated 2 years ago
• palash1992 / GEM
  ☆1,286Updated last year
• suanrong / SDNE
  This is a implementation of SDNE (Structural Deep Network embedding)
  ☆322Updated 4 years ago
• shenweichen / GraphNeuralNetwork
  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
  ☆831Updated 2 years ago
• khuangaf / PyTorch-Geometric-YooChoose
  This is a tutorial for PyTorch Geometric on the YooChoose dataset
  ☆316Updated 6 years ago
• leoribeiro / struc2vec
  This repository provides a reference implementation of struc2vec.
  ☆392Updated 2 years ago
• microsoft / tf-gnn-samples
  TensorFlow implementations of Graph Neural Networks
  ☆926Updated 2 years ago
• RexYing / diffpool
  ☆497Updated 4 years ago
• fmonti / mgcnn
  Multi-Graph Convolutional Neural Networks
  ☆255Updated 7 years ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,245Updated 4 years ago
• snap-stanford / GraphRNN
  ☆428Updated 6 years ago
• vuptran / graph-representation-learning
  [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification
  ☆255Updated 6 years ago
• bknyaz / graph_nn
  Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
  ☆335Updated 4 years ago
• palash1992 / DynamicGEM
  ☆352Updated 5 years ago
• talorwu / Graph-Neural-Network-Review
  ☆436Updated 6 years ago
• benedekrozemberczki / GAM
  A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
  ☆273Updated 2 years ago