Alternatives and similar repositories for FastGCN:

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

• suanrong / SDNE
  This is a implementation of SDNE (Structural Deep Network embedding)
  ☆321Updated 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)
  ☆485Updated 4 years ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,017Updated 4 years ago
• benedekrozemberczki / ClusterGCN
  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
  ☆799Updated 2 years ago
• kimiyoung / planetoid
  Semi-supervised learning with graph embeddings
  ☆915Updated 5 years ago
• dbusbridge / gcn_tutorial
  A tutorial on Graph Convolutional Neural Networks
  ☆318Updated 4 years ago
• RexYing / diffpool
  ☆487Updated 4 years ago
• DropEdge / DropEdge
  This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
  ☆470Updated 2 years ago
• gasteigerjo / ppnp
  PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
  ☆321Updated 4 months ago
• chuxuzhang / KDD2019_HetGNN
  code of HetGNN
  ☆400Updated 5 years ago
• Jhy1993 / Representation-Learning-on-Heterogeneous-Graph
  Representation-Learning-on-Heterogeneous-Graph
  ☆440Updated 5 years ago
• shchur / gnn-benchmark
  Framework for evaluating Graph Neural Network models on semi-supervised node classification task
  ☆472Updated 6 years ago
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆839Updated 3 years ago
• hwwang55 / GraphGAN
  A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
  ☆534Updated 5 years ago
• palash1992 / DynamicGEM
  ☆350Updated 5 years ago
• JiaxuanYou / P-GNN
  Position-aware Graph Neural Networks
  ☆400Updated 4 years ago
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆914Updated 7 years ago
• DeepGraphLearning / GMNN
  Graph Markov Neural Networks
  ☆407Updated 4 years ago
• tkipf / relational-gcn
  Keras-based implementation of Relational Graph Convolutional Networks
  ☆808Updated 5 years ago
• THUDM / GATNE
  Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
  ☆530Updated 3 years ago
• bkj / pytorch-graphsage
  Representation learning on large graphs using stochastic graph convolutions.
  ☆138Updated 6 years ago
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆637Updated 2 years ago
• fmonti / mgcnn
  Multi-Graph Convolutional Neural Networks
  ☆254Updated 7 years ago
• GraphSAINT / GraphSAINT
  [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…
  ☆482Updated 2 years ago
• shenweichen / GraphNeuralNetwork
  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
  ☆813Updated 2 years ago
• MichSchli / RelationPrediction
  Implementation of R-GCNs for Relational Link Prediction
  ☆455Updated 2 years ago
• twjiang / graphSAGE-pytorch
  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
  ☆644Updated last year
• inyeoplee77 / SAGPool
  Official PyTorch Implementation of SAGPool - ICML 2019
  ☆371Updated last year
• benedekrozemberczki / SGCN
  A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
  ☆275Updated 2 years ago
• tkipf / keras-gcn
  Keras implementation of Graph Convolutional Networks
  ☆792Updated 3 years ago