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公开(公告)号：US20230140148A1
公开(公告)日：2023-05-04
申请号：US18148775
申请日：2022-12-30
Inventor： Zheng Dong , Peng Wang , Xin Song , Hengshu Zhu , Kaichun Yao
IPC: G06F16/9536
Abstract: A method for community search is performed by an electronic device. The method includes: obtaining graph data to be processed, in which the graph data includes a plurality of nodes and a plurality of connection edges between the nodes; determining a query node from the plurality of nodes based on the graph data, and determining a target community to which the query node belongs by performing a community search for the query node, in which the target community includes the query node, and at least one node other than the query node in the plurality of nodes; and determining the query node and performing the community search for the query node repeatedly until the community to which each node included in the graph data belongs is determined.
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公开(公告)号：US11899699B2
公开(公告)日：2024-02-13
申请号：US17347448
申请日：2021-06-14
Inventor： Kaichun Yao , Chuan Qin , Hengshu Zhu , Chao Ma , Jingshuai Zhang
IPC: G06F40/289 , G06F40/40 , G06F16/332 , G06F16/335 , G06F40/20
CPC classification number: G06F16/3329 , G06F16/335 , G06F40/20
Abstract: This application discloses a keyword generating method, an apparatus, a device and a storage medium, which relate to the field of natural language processing in the field of artificial intelligence. A specific implementation scheme includes: inputting a target text into a text processing model, obtaining a word sequence corresponding to the target text, and generating a semantic representation sequence corresponding to the word sequence; making prediction about each semantic representation vector in the semantic representation sequence respectively to obtain a prediction result; and if the prediction result indicates that a word corresponding to the semantic representation vector is capable of triggering a generation of a keyword, outputting the keyword based on the semantic representation vector and the prediction result. This method improves the accuracy of generating keywords.
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3.发明授权公开(公告)号：US12038989B2
公开(公告)日：2024-07-16
申请号：US18148775
申请日：2022-12-30
Inventor： Zheng Dong , Peng Wang , Xin Song , Hengshu Zhu , Kaichun Yao
IPC: G06F16/00 , G06F16/9536 , G06N3/092
CPC classification number: G06F16/9536 , G06N3/092
Abstract: A method for community search is performed by an electronic device. The method includes: obtaining graph data to be processed, in which the graph data includes a plurality of nodes and a plurality of connection edges between the nodes; determining a query node from the plurality of nodes based on the graph data, and determining a target community to which the query node belongs by performing a community search for the query node, in which the target community includes the query node, and at least one node other than the query node in the plurality of nodes; and determining the query node and performing the community search for the query node repeatedly until the community to which each node included in the graph data belongs is determined.
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4.发明授权公开(公告)号：US11989962B2
公开(公告)日：2024-05-21
申请号：US17559643
申请日：2021-12-22
Inventor： Chao Ma , Jingshuai Zhang , Qifan Huang , Kaichun Yao , Peng Wang , Hengshu Zhu
IPC: G06V30/00 , G06V30/148 , G06V30/18 , G06V30/262 , G06V30/41
CPC classification number: G06V30/153 , G06V30/18181 , G06V30/274 , G06V30/41
Abstract: A method, an apparatus, a device, a storage medium and a program product of performing a text matching are provided, which relate to a field of a computer technology, and in particular to natural language processing and deep learning technologies. The method includes: determining a word set and a plurality of semantic units from a text set, the word set is associated with a first predetermined attribute, and the text set contains a plurality of first texts indicating an object information and a plurality of second texts indicating an object demand information; generating a graph; and generating a final feature representation associated with the text set and the word set based on the graph and a graph convolution model, so as to perform the text matching.
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