公开(公告)号：US20240061980A1

公开(公告)日：2024-02-22

申请号：US18451551

申请日：2023-08-17

Applicant: DASSAULT SYSTEMES

Inventor： Mariem MEZGHANNI ,  Julien BOUCHER ,  Rémy SABATHIER

IPC: G06F30/27

CPC classification number: G06F30/27

Abstract: A computer-implemented method of machine-learning including obtaining a training dataset of B-rep graphs. Each B-rep graph represents a respective B-rep. Each B-rep graph comprises graph nodes each representing an edge, a face or a co-edge of the respective B-rep and being associated with one or more geometrical and/or topological features. Each B-rep graph includes graph edges each between a respective first graph node representing a respective co-edge and a respective second graph node representing a face, an edge, an adjacent co-edge, or a mating co-edge associated with the respective co-edge. The method further includes learning, based on the training dataset, a Deep CAD neural network. The Deep CAD neural network is configured to take as input a B-rep graph and to output a topological signature of the B-rep represented by the input B-rep graph.