This repository implements variational graph auto encoder by Thomas Kipf.
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Updated
Sep 20, 2021 - Python
This repository implements variational graph auto encoder by Thomas Kipf.
gcn for prediction of protein interactions,图卷积用于蛋白质相互作用。
This repository shows an implementation of the VGAE based model with PyTorch.
Official Repository for different models based on MultiHead VGAEs.
Graph Neural Network for Disease-Gene Link Prediction
Graph-based Contrastive Learning enable Fast Single-Cell Embedding
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.
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
Repositório de TCC com pipeline completo para experimentos com GNNs: geração de embeddings (GAE/VGAE), avaliação com múltiplos classificadores e ambiente reproduzível via Dev Containers.
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