A novel approach for ASD recognition based on graph attention networks. [PDF]
Wang C, Xiao Z, Xu Y, Zhang Q, Chen J.
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DTI-MHAPR: optimized drug-target interaction prediction via PCA-enhanced features and heterogeneous graph attention networks. [PDF]
Yang G +5 more
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HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks. [PDF]
Piya FL, Gupta M, Beheshti R.
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Enhancing Intelligent HVAC optimization with graph attention networks and stacking ensemble learning, a recommender system approach in Shenzhen Qianhai Smart Community. [PDF]
He Y +9 more
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Pair-EGRET: enhancing the prediction of protein-protein interaction sites through graph attention networks and protein language models. [PDF]
Alam R, Mahbub S, Bayzid MS.
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Predicting lncRNA-disease associations using multiple metapaths in hierarchical graph attention networks. [PDF]
Yao D, Deng Y, Zhan X, Zhan X.
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PGAT-ABPp: harnessing protein language models and graph attention networks for antibacterial peptide identification with remarkable accuracy. [PDF]
Hao Y, Liu X, Fu H, Shao X, Cai W.
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MOGAT: A Multi-Omics Integration Framework Using Graph Attention Networks for Cancer Subtype Prediction. [PDF]
Tanvir RB +4 more
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A novel microbe-drug association prediction model based on graph attention networks and bilayer random forest. [PDF]
Kuang H +6 more
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