Alternatives and similar repositories for Representation-Learning-on-Heterogeneous-Graph

Users that are interested in Representation-Learning-on-Heterogeneous-Graph are comparing it to the libraries listed below

• chuxuzhang / KDD2019_HetGNN
  code of HetGNN
  ☆412Updated 5 years ago
• THUDM / GATNE
  Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
  ☆536Updated 4 years ago
• BUPT-GAMMA / OpenHINE
  An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)
  ☆326Updated 2 years ago
• yangji9181 / HNE
  Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond
  ☆259Updated 5 years ago
• zhoushengisnoob / HINE
  Heterogeneous Information Network Embedding
  ☆199Updated 4 years ago
• palash1992 / DynamicGEM
  ☆356Updated 5 years ago
• dglai / WWW20-Hands-on-Tutorial
  Materials for DGL hands-on tutorial in WWW 2020
  ☆503Updated 4 years ago
• cynricfu / MAGNN
  Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
  ☆432Updated 5 years ago
• apple2373 / metapath2vec
  ☆188Updated 6 years ago
• MichSchli / RelationPrediction
  Implementation of R-GCNs for Relational Link Prediction
  ☆465Updated 2 years ago
• librahu / HIN-Datasets-for-Recommendation-and-Network-Embedding
  Heterogeneous Information Network Datasets for Recommendation and Network Embedding
  ☆349Updated 6 years ago
• Jhy1993 / Awesome-GNN-Recommendation
  Graph Neural Network
  ☆267Updated 4 years ago
• Jhy1993 / Datasets-for-Heterogeneous-Graph
  Datasets-for-Heterogeneous-Graph
  ☆136Updated 6 years ago
• twjiang / graphSAGE-pytorch
  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
  ☆678Updated 2 years ago
• clhchtcjj / BiNE
  BiNE: Bipartite Network Embedding
  ☆229Updated 5 years ago
• THUDM / HGB
  Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.
  ☆338Updated 2 years ago
• THUDM / GCC
  GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020
  ☆333Updated 2 years ago
• Jhy1993 / HAN
  Heterogeneous Graph Neural Network
  ☆1,197Updated 5 years ago
• gasteigerjo / ppnp
  PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
  ☆322Updated last year
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆662Updated 3 years ago
• shenweichen / GraphNeuralNetwork
  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
  ☆846Updated 3 years ago
• tanimutomo / gcmc
  Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)
  ☆160Updated last year
• Cantoria / dynamic-graph-papers
  Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph
  ☆458Updated 2 years ago
• acbull / GPT-GNN
  Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
  ☆497Updated last year
• didi / hetsann
  Source Codes of HetSANN in the AAAI'20 paper: An Attention-based Graph Nerual Network for Heterogeneous Structural Learning.
  ☆144Updated 4 years ago
• aravindsankar28 / DySAT
  Representation learning on dynamic graphs using self-attention networks
  ☆307Updated 2 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…
  ☆504Updated 3 years ago
• suanrong / SDNE
  This is a implementation of SDNE (Structural Deep Network embedding)
  ☆322Updated 4 years ago
• yetionyo / Awesome-Dynamic-Network-Embedding
  dynamic/temporal network embedding
  ☆33Updated 6 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