Alternatives and similar repositories for graphSAGE-pytorch

Users that are interested in graphSAGE-pytorch are comparing it to the libraries listed below

• Jhy1993 / HAN
  Heterogeneous Graph Neural Network
  ☆1,201Updated 5 years ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,043Updated 5 years ago
• shenweichen / GraphNeuralNetwork
  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
  ☆846Updated 3 years ago
• IBM / EvolveGCN
  Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
  ☆612Updated 4 years ago
• chuxuzhang / KDD2019_HetGNN
  code of HetGNN
  ☆412Updated 5 years ago
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆662Updated 3 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…
  ☆506Updated 3 years ago
• acbull / pyHGT
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
  ☆896Updated 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
• seongjunyun / Graph_Transformer_Networks
  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
  ☆1,076Updated 2 years ago
• kimiyoung / planetoid
  Semi-supervised learning with graph embeddings
  ☆946Updated 5 years ago
• Jhy1993 / Representation-Learning-on-Heterogeneous-Graph
  Representation-Learning-on-Heterogeneous-Graph
  ☆444Updated 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
• DropEdge / DropEdge
  This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
  ☆475Updated 3 years ago
• cynricfu / MAGNN
  Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
  ☆435Updated 5 years ago
• CrawlScript / tf_geometric
  Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x
  ☆506Updated 5 months ago
• chennnM / GCNII
  PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
  ☆358Updated 5 years ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,270Updated 4 years ago
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,230Updated 10 months ago
• shchur / gnn-benchmark
  Framework for evaluating Graph Neural Network models on semi-supervised node classification task
  ☆492Updated 7 years ago
• zfjsail / gae-pytorch
  Graph Auto-Encoder in PyTorch
  ☆445Updated last year
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆847Updated 4 years ago
• DaehanKim / vgae_pytorch
  This repository implements variational graph auto encoder by Thomas Kipf.
  ☆422Updated 4 years ago
• daiquocnguyen / Graph-Transformer
  Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
  ☆678Updated 3 years ago
• aravindsankar28 / DySAT
  Representation learning on dynamic graphs using self-attention networks
  ☆308Updated 2 years ago
• StatsDLMathsRecomSys / Inductive-representation-learning-on-temporal-graphs
  ☆341Updated last year
• acbull / GPT-GNN
  Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
  ☆498Updated last year
• iMoonLab / HGNN
  Hypergraph Neural Networks (AAAI 2019)
  ☆828Updated 3 years ago
• PyGCL / PyGCL
  PyGCL: A PyTorch Library for Graph Contrastive Learning
  ☆957Updated last year
• THUDM / GATNE
  Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
  ☆536Updated 4 years ago