GitHub

A Dataset and code of Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning

Paper: Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning The MFCAD (Machining Feature CAD) dataset is a comprehensive collection of 3D CAD models with labeled ...
GitHub

Graph Neural Networks for Tabular Data Learning (GNN4TDL)

The deep learning-based approaches to Tabular Data Learning (TDL), classification and regression, have shown competing performance, compared to their conventional counterparts. However, the latent ...
IEEE

Substructure-augmented Graph Transformer for Network Representation Learning

Abstract: Graph Transformer has attracted widespread attention in network representation learning recently. It effectively overcomes several limitations of graph neural networks (GNNs) and learns ...
IEEE

Latent Graph Representations for Critical View of Safety Assessment

Abstract: Assessing the critical view of safety in laparoscopic cholecystectomy requires accurate identification and localization of key anatomical structures, reasoning about their geometric ...