公开(公告)号：US20240273641A1

公开(公告)日：2024-08-15

申请号：US18458220

申请日：2023-08-30

Applicant: KABUSHIKI KAISHA TOSHIBA

Inventor： Kiichi GOTO ,  Yasutoyo TAKEYAMA ,  Kazunori IMOTO

IPC: G06Q50/00

CPC classification number: G06Q50/01

Abstract: According to one embodiment, an information processing apparatus includes a processor. The processor modifies graph data to generate two pieces of new graph data. The processor extracts, by an extraction model, features of respective nodes in the graph data. The processor calculates a contrastive loss by using similarity between the extracted features. The processor calculates a structural loss by using between the extracted features. The processor updates the extraction model using the contrastive loss and the structural loss.

公开(公告)号：US20240036110A1

公开(公告)日：2024-02-01

申请号：US18174230

申请日：2023-02-24

Applicant: KABUSHIKI KAISHA TOSHIBA

Inventor： Kiichi GOTO ,  Yasutoyo TAKEYAMA ,  Yoshiyuki KOKOJIMA

IPC: G01R31/317

CPC classification number: G01R31/31704

Abstract: An information processing apparatus includes a processor including hardware. The processor extracts neighboring nodes in two or more different extraction ranges for each node constituting input data of a graph structure. The processor calculates an anomaly score representing a degree of anomaly of the node for each extraction range based on a representation of a combination of the node and the neighboring nodes. The processor records each calculated anomaly score in a storage. The processor selects a maximum anomaly score among the anomaly scores recorded in the storage. The processor determines an anomaly node in the input data of the graph structure based on the selected maximum anomaly score. The processor outputs information of the anomaly node.