公开(公告)号：US20240403382A1

公开(公告)日：2024-12-05

申请号：US18802237

申请日：2024-08-13

Applicant: Beijing Volcano Engine Technology Co., Ltd.

Inventor： Yang SUN ,  Yifan XIE ,  Kang LIU ,  Xuan LUO

IPC: G06F17/11

Abstract: Provided are a method and a device of multivariable time series processing. The method comprises obtaining a time series set comprising a plurality of first time series segments having a same length and being a multivariable time series; inputting the first time series segment into a graph neural network to predict a multivariable reference value corresponding to a first time point that is a next time point adjacent to a latest time point in the first time series segment; determining an optimization function based on multivariable reference values corresponding to a plurality of the first time points and corresponding multivariable series tags; determining values of respective parameters in the causal matrix with an objective of minimizing the optimization function; and determining, based on the values of the respective parameters in the causal matrix, a causal relationship between multiple variables in the multivariable time series.