公开(公告)号：US20230117633A1

公开(公告)日：2023-04-20

申请号：US17984421

申请日：2022-11-10

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Chengzhi ZHANG ,  Min ZHOU ,  Hanling YI ,  Kalander MARCUS ,  Kechen ZHUANG

IPC: H04L41/147 ,  G06N5/02

Abstract: A method for predicting a node state, including: obtaining static graphs and dynamic graphs of a plurality of nodes in a target network, where the static graphs and the dynamic graphs are all topology views; generating spatial feature data of the plurality of nodes based on the static graphs and the dynamic graphs; obtaining time feature data of the plurality of nodes; and obtaining a predicted state of a target node in a target time range based on the spatial feature data and the time feature data, where the target node is any node in the plurality of nodes. The method for predicting a node state provided in this application is applied to the field of node state prediction in a network, and uses a dynamic spatial feature in addition to a time feature and a static spatial feature. FIG. 8

公开(公告)号：US20210014103A1

公开(公告)日：2021-01-14

申请号：US17035054

申请日：2020-09-28

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Keli ZHANG ,  Caifeng HE ,  Kalander MARCUS ,  Yijun LIU ,  Ivy PENG ,  Yahui LI

IPC: H04L12/24

Abstract: Example methods and apparatus for locating a root cause alarm are described. One example method includes obtaining an alarm correlation rule of a telecommunications network. The alarm correlation rule is split to obtain candidate root cause rules. Time sequence information of the candidate root cause rules are determined based on historical alarm data of the telecommunications network.