Patent ID: 11915161
Assignee: TSINGHUA UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 2:
3. The method according to claim 2, wherein the step of acquiring the samples marked with a plurality of relations between target nodes, and performing the joint training to all of the individual operator networks that are pre-trained, to obtain the analyzing model comprises:
deciding execution priorities of all of the individual operator networks that are pre-trained;
acquiring and pre-processing true samples marked with a plurality of relations between the target nodes, to obtain true triplet data marked in the graph data structure, wherein the true triplet data comprise a plurality of target true-sample nodes, attributes corresponding to the plurality of target true-sample nodes individually, and relations between the target true-sample nodes;
by the operator network having a prior priority, processing the respective processing data of all of the node pairs corresponding thereto, to obtain an outputted result and marking the outputted result in the graph data structure;
by the operator network having an inferior priority, according to the relation between target nodes processed thereby and based on the outputted results of all of the operator networks having a prior priority, determining and processing the respective processing data of all of the node pairs that satisfy the relation between target nodes, to obtain an outputted result and marking the outputted result in the graph data structure; and
based on the outputted result of the individual operator network having a most inferior priority of all operator networks, updating a model parameter.