Alternatives and similar repositories for planetoid

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

• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,038Updated 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
• 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
• Jhy1993 / HAN
  Heterogeneous Graph Neural Network
  ☆1,193Updated 5 years ago
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆847Updated 4 years ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,267Updated 4 years ago
• twjiang / graphSAGE-pytorch
  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
  ☆676Updated 2 years ago
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆662Updated 3 years ago
• tkipf / relational-gcn
  Keras-based implementation of Relational Graph Convolutional Networks
  ☆817Updated 6 years ago
• RexYing / diffpool
  ☆505Updated 5 years ago
• benedekrozemberczki / ClusterGCN
  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
  ☆808Updated 3 years ago
• mdeff / cnn_graph
  Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  ☆1,365Updated 5 years ago
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,725Updated 6 years ago
• hwwang55 / GraphGAN
  A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
  ☆538Updated 6 years ago
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆920Updated 7 years ago
• shchur / gnn-benchmark
  Framework for evaluating Graph Neural Network models on semi-supervised node classification task
  ☆490Updated 7 years ago
• shenweichen / GraphNeuralNetwork
  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
  ☆842Updated 3 years ago
• acbull / pyHGT
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
  ☆890Updated 2 years ago
• MichSchli / RelationPrediction
  Implementation of R-GCNs for Relational Link Prediction
  ☆465Updated 2 years ago
• Jhy1993 / Representation-Learning-on-Heterogeneous-Graph
  Representation-Learning-on-Heterogeneous-Graph
  ☆444Updated 5 years ago
• chuxuzhang / KDD2019_HetGNN
  code of HetGNN
  ☆412Updated 5 years ago
• seongjunyun / Graph_Transformer_Networks
  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
  ☆1,072Updated 2 years ago
• palash1992 / DynamicGEM
  ☆357Updated 5 years ago
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,485Updated 3 years ago
• DropEdge / DropEdge
  This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
  ☆476Updated 3 years ago
• tkipf / keras-gcn
  Keras implementation of Graph Convolutional Networks
  ☆794Updated 4 years ago
• DeepGraphLearning / GMNN
  Graph Markov Neural Networks
  ☆411Updated 5 years ago
• jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
  Papers on Graph neural network(GNN)
  ☆768Updated 2 years ago
• suanrong / SDNE
  This is a implementation of SDNE (Structural Deep Network embedding)
  ☆322Updated 4 years ago
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,646Updated last year