StellarGraph
v1.0.0rc1

Contents:

  • StellarGraph Machine Learning Library
  • StellarGraph API
  • Heterogeneous GraphSAGE (HinSAGE)
  • Demos
    • Basics
    • Calibration
    • Community Detection
    • Connector
    • Embeddings
      • GCN Deep Graph Infomax on CORA
      • Comparing Different Models
      • Graph representation learning through Unsupervised GraphSAGE
      • GraphWave aglorithm on a barbell graph
      • Node Representation Learning with attri2vec on Citeseer
      • Introduction
      • Load the dataset
      • The Metapath2Vec algorithm
      • Representation Learning using Word2Vec
      • Visualise Node Embeddings
      • Downstream task
      • Introduction
      • Corpus generation using random walks
      • Loading in the data
      • Creating the model
      • Training
      • Visualizing Embeddings
    • Ensembles
    • Graph Classification
    • Interpretability
    • Link Prediction
    • Node Classification
    • Use Cases
StellarGraph
  • Docs »
  • Demos »
  • Embeddings
  • Edit on GitHub

EmbeddingsΒΆ

  • GCN Deep Graph Infomax on CORA
  • Comparing Different Models
  • Graph representation learning through Unsupervised GraphSAGE
  • GraphWave aglorithm on a barbell graph
  • Node Representation Learning with attri2vec on Citeseer
  • Introduction
  • Load the dataset
  • The Metapath2Vec algorithm
  • Representation Learning using Word2Vec
  • Visualise Node Embeddings
  • Downstream task
  • Introduction
  • Corpus generation using random walks
  • Loading in the data
  • Creating the model
  • Training
  • Visualizing Embeddings
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