StellarGraph
v1.0.0rc1
Contents:
StellarGraph Machine Learning Library
StellarGraph API
Heterogeneous GraphSAGE (HinSAGE)
Demos
Basics
Calibration
Community Detection
Connector
Embeddings
Ensembles
Graph Classification
Interpretability
Link Prediction
Node Classification
Attri2vec
Cluster Gcn
Gat
Gcn
Graphsage
Node2vec
Ppnp
Rgcn
Sgc
Use Cases
StellarGraph
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Demos
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Node Classification
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Node Classification
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Attri2vec
Node Representation Learning with attri2vec on Citeseer
Cluster Gcn
Cluster-GCN for node classification
Gat
Stellargraph example: Graph Attention Network (GAT) on the CORA citation dataset
Gcn
Graph Convolutional Network (GCN) on the CORA citation dataset
Graphsage
Stellargraph example: Fully directed GraphSAGE on a directed CORA citation network
Stellargraph example: GraphSAGE on the CORA citation network
Inductive representation learning using GraphSAGE on the Pubmed-Diabetes citation network
Node2vec
Introduction
Corpus generation using random walks
Node2Vec with weighted random walks
Ppnp
Stellargraph example: Personalised Propagation of Neural Predictions (PPNP) and Approximate PPNP (APPNP) on the CORA citation dataset
Rgcn
Stellargraph example: Relational Graph Convolutional Network (RGCN) on the AIFB relational dataset
Sgc
Stellargraph example: Simplified Graph Convolutions (SGC) on the CORA citation dataset
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v: v1.0.0rc1
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