US 12,014,282 B2
Data processing method and apparatus, electronic device, and storage medium
Shimin Chen, Guangdong (CN); Songjie Niu, Guangdong (CN); Dongyan Zhou, Guangdong (CN); Donghai Yu, Guangdong (CN); and Shijie Sun, Guangdong (CN)
Assigned to TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Shenzhen (CN)
Filed by TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Guangdong (CN)
Filed on Jun. 3, 2021, as Appl. No. 17/338,404.
Application 17/338,404 is a continuation of application No. PCT/CN2020/079834, filed on Mar. 18, 2020.
Claims priority of application No. 201910276851.1 (CN), filed on Apr. 8, 2019.
Prior Publication US 2021/0295100 A1, Sep. 23, 2021
Int. Cl. G06K 9/00 (2022.01); G06F 18/214 (2023.01); G06F 18/2323 (2023.01); G06F 18/2413 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06N 5/022 (2023.01)
CPC G06N 5/022 (2013.01) [G06F 18/214 (2023.01); G06F 18/2323 (2023.01); G06F 18/24147 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A data processing method comprising:
obtaining a training sample set that includes a plurality of graph computing task training samples in which data is represented as vertices and associations between the vertices are represented as edges in graph data;
extracting at least one performance indicator feature of each of the graph computing task training samples, the at least one performance indicator feature including one or more of a graph data feature, a graph processing platform feature, a graph algorithm feature, and a machine hardware feature;
generating a target training sample set based on a mapping relationship between actual execution times of the graph computing task training samples and the performance indicator features;
training an initial performance prediction model based on the target training sample set and the mapping relationship to obtain a target performance prediction model; and
outputting, by processing circuitry according to at least one performance indicator feature of an inputted graph computing task test sample, a predicted execution time of the graph computing task test sample based on the target performance prediction model.