We propose a novel end-to-end Knowledge Graph Attention Network to predict drug synergy (KGANSynergy), which utilizes neighbor information of known drugs/cell ...
May 19, 2023 · We propose a novel end-to-end Knowledge Graph Attention Network to predict drug synergy (KGANSynergy), which utilizes neighbor information of known drugs/cell ...
May 2, 2023 · KGANSynergy uses knowledge graph (KG) hierarchical propagation to find multi-source neighbor nodes for drugs and cell lines. The knowledge graph ...
KGANSynergy uses knowledge graph (KG) hierarchical propagation to find multi-source neighbor nodes for drugs and cell lines. The knowledge graph attention ...
May 6, 2024 · The GraphSynergy DL framework (56) predicted the synergistic efficacy of different anticancer drugs on specific cancer cells by analyzing the ...
KGANSynergy uses knowledge graph (KG) hierarchical propagation to find multi-source neighbor nodes for drugs and cell lines. The knowledge graph attention ...
KGANSynergy uses knowledge graph (KG) hierarchical propagation to find multi-source neighbor nodes for drugs and cell lines. The knowledge graph attention ...
Dec 10, 2024 · KGANSynergy is a novel knowledge graph attention network to predict drug synergy, which utilizes heterogeneous graph ... combination prediction ...
May 27, 2024 · In this study, we construct a heterogeneous graph that encompasses diverse biological entities and interactions, utilizing rich data sets from sources.
Missing: KGANSynergy: knowledge
Sep 11, 2023 · Feature learning is a crucial aspect of drug synergy prediction, which involves leveraging various computational techniques and domain knowledge ...