公开(公告)号：US20250117528A1

公开(公告)日：2025-04-10

申请号：US18908244

申请日：2024-10-07

Applicant: DASSAULT SYSTEMES

Inventor： Pierre CLAROU ,  Mariem MEZGHANNI ,  Julien BOUCHER

IPC: G06F30/12 ,  G06N3/0464 ,  G06N3/08

Abstract: A machine-learning method including obtaining a training dataset of B-rep graphs. Each B-rep graph represents a respective B-rep. Each B-rep graph includes 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 further comprises 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 local Deep CAD neural network. The local Deep CAD neural network takes as input a B-rep graph and to output, for each graph node of the input B-rep graph, a local topological signature of the B-rep element represented by the graph node.