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vgae

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A comprehensive bridge impact analysis system combining heterogeneous graph neural networks (HGNN) for closure-impact prediction with graph autoencoders (GAE/VGAE/HetVGAE) for unsupervised bridge similarity learning. This extends the system with heterogeneous graph variational autoencoders for metapath-based bridge classification.

  • Updated Apr 13, 2026
  • HTML

APPNP,ARGO,ARMA,BGNN,BGRL,CAPSULE,CAREGNN,CLUSTER_GCN,COMPGCN,CORRECT_AND_SMOOTH,DAGNN,DEEPERGNN,DEEPWALK,DGI,DGMG,DIFFPOOL,DIMENET,DTGRNN,EEG-GCNN,EGES,EVOLVEGCN,GAS,GAT,GATNE-T,GATV2,GCMC,GCN,GENIEPATH,GGNN,GIN,GNN_EXPLAINER,GRACE,GRAND,GRAPH_MATCHING,GRAPHSAINT,GRAPHSAGE,GRAPHSIM,GRAPHWRITER,GXN,HAN,HARDGAT,HARDGAT,HGP_SL,HGT,HILANDER,INFOGRAPH

  • Updated Jan 6, 2025
  • Python

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