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公开(公告)号:US20220082393A1
公开(公告)日:2022-03-17
申请号:US17533441
申请日:2021-11-23
IPC: G01C21/34
Abstract: A travel recommendation method, an electronic device, and a storage medium are provided, which are related to artificial intelligence, and particularly relates to fields of depth learning, map navigation and the like. The specific implementation scheme includes: obtaining a travel recommendation model according to constraint conditions and prediction conditions, wherein the constraint conditions are used for characterizing travel fairness for different types of users travelling at different moments and in different regions, and the prediction conditions are used for characterizing at least two travel modes selected by the different types of users; and obtaining travel recommendation information according to a travel target and the travel recommendation model.
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公开(公告)号:US20220130495A1
公开(公告)日:2022-04-28
申请号:US17570505
申请日:2022-01-07
Inventor: Shuangli LI , Jingbo ZHOU , Liang HUANG , Haoyi XIONG , Fan WANG , Tong XU , Hui XIONG , Dejing DOU
Abstract: A method for determining correlation between a drug and a target, and an electronic device are provided. The method includes: establishing a spatial molecular graph of a candidate drug and the target, the spatial molecular graph including an atomic node set and an edge set, the atomic node set including atoms in the candidate drug and atoms in the target, the edge set including at least one atom connection edge; inputting a first atom feature of the atomic node set and the spatial molecular graph into a first GAT for prediction, to obtain a second atom feature of the atomic node set; and determining a parameter value of the correlation between the candidate drug and the target in accordance with the second atom feature of the atomic node set.
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