Alternatives and similar repositories for KDD2019_HetGNN:

Users that are interested in KDD2019_HetGNN are comparing it to the libraries listed below

• Jhy1993 / Representation-Learning-on-Heterogeneous-Graph
  Representation-Learning-on-Heterogeneous-Graph
  ☆439Updated 5 years ago
• yangji9181 / HNE
  Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond
  ☆257Updated 4 years ago
• BUPT-GAMMA / OpenHINE
  An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)
  ☆323Updated last year
• THUDM / GATNE
  Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
  ☆528Updated 3 years ago
• cynricfu / MAGNN
  Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
  ☆408Updated 4 years ago
• THUDM / HGB
  Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.
  ☆316Updated last year
• Jhy1993 / HAN
  Heterogeneous Graph Neural Network
  ☆1,119Updated 4 years ago
• palash1992 / DynamicGEM
  ☆349Updated 4 years ago
• twjiang / graphSAGE-pytorch
  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
  ☆641Updated last year
• apple2373 / metapath2vec
  ☆185Updated 6 years ago
• zhoushengisnoob / HINE
  Heterogeneous Information Network Embedding
  ☆198Updated 3 years ago
• MichSchli / RelationPrediction
  Implementation of R-GCNs for Relational Link Prediction
  ☆454Updated last year
• librahu / HIN-Datasets-for-Recommendation-and-Network-Embedding
  Heterogeneous Information Network Datasets for Recommendation and Network Embedding
  ☆340Updated 5 years ago
• Jhy1993 / Datasets-for-Heterogeneous-Graph
  Datasets-for-Heterogeneous-Graph
  ☆127Updated 5 years ago
• THUDM / GCC
  GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020
  ☆326Updated last year
• IBM / EvolveGCN
  Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
  ☆545Updated 3 years ago
• aravindsankar28 / DySAT
  Representation learning on dynamic graphs using self-attention networks
  ☆291Updated last year
• StatsDLMathsRecomSys / Inductive-representation-learning-on-temporal-graphs
  ☆309Updated 7 months ago
• JinheonBaek / RGCN
  Pytorch implementation of a RGCN Link Prediction Model
  ☆246Updated 3 years ago
• malllabiisc / CompGCN
  ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
  ☆609Updated 7 months ago
• acbull / pyHGT
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
  ☆818Updated last year
• Jhy1993 / Awesome-GNN-Recommendation
  Graph Neural Network
  ☆266Updated 3 years ago
• shenweichen / GraphNeuralNetwork
  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
  ☆808Updated 2 years ago
• DropEdge / DropEdge
  This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
  ☆471Updated 2 years ago
• Cantoria / dynamic-graph-papers
  Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph
  ☆438Updated last year
• claws-lab / jodie
  A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
  ☆381Updated 7 months ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,009Updated 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)
  ☆481Updated 4 years ago
• CrawlScript / tf_geometric
  Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x
  ☆501Updated 2 months ago
• matenure / FastGCN
  The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
  ☆524Updated 3 years ago