Knowledge and data dual-driven streaming multi-mode graph learning method

The invention discloses a knowledge and data dual-driven streaming multi-modal graph learning method, and relates to the field of multi-modal graph learning, and the method comprises the following steps: training a lifelong learning knowledge pre-training network through collected multi-modal data;...

Full description

Saved in:
Bibliographic Details
Main Authors WANG YANLONG, REN ZHENWEN, YOU XIAOJIAN, WU QIAN
Format Patent
LanguageChinese
English
Published 12.03.2024
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
Online AccessGet full text

Cover

More Information
Summary:The invention discloses a knowledge and data dual-driven streaming multi-modal graph learning method, and relates to the field of multi-modal graph learning, and the method comprises the following steps: training a lifelong learning knowledge pre-training network through collected multi-modal data; carrying out decentration and normalization operation on the streaming multi-modal data by utilizing a data rectification module; complementing the missing data by using a data complementing module; a modal data identification module is used for identifying the complemented multi-modal data; inputting the multi-modal data in the data warehouse into representative prototype knowledge points of learning data in the trained lifelong learning knowledge pre-training network; and generating a bipartite graph according to the representative prototype knowledge points in the knowledge warehouse and the complemented multi-modal data by using a knowledge-driven graph generation module. According to the method, the problems t
Bibliography:Application Number: CN202311758943