Patent ID: 11916853
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Digital communication (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 3:
4. The method according to claim 1, wherein a group type identification model comprises a first attention network, a first screening network, and an identification network, and the acquiring an attention parameter of each first user node based on the first graph structure feature and the plurality of first user features comprises:
invoking the first attention network to acquire the attention parameter of each first user node based on the first graph structure feature and the plurality of first user features;
the selecting a plurality of second user nodes from the plurality of first user nodes comprises:
invoking the first screening network to select the plurality of second user nodes from the plurality of first user nodes; and
the identifying a group type of the target group based on first user features of the plurality of second user nodes and a second graph structure feature of a second target graph comprises:
invoking the identification network to identify the group type of the target group based on the first user features of the plurality of second user nodes and the second graph structure feature.