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 ...
IEEE

Toward the Extension and Enhanced Representation for Ambiguous Query With Search Heterogeneous Graph Learning

Abstract: In an online search, users often input an ambiguous short query to search engines, which leads to search engines being unable to accurately understand the true users’ query intent. Thus, ...
IEEE

A Multi-class Graph Convolutional Neural Network for EEG Classification and Representation

Abstract: The classification of motor imagery based on EEG signals is critical for motor rehabilitation with a Brain-Computer Interface (BCI). The majority of the currently available works on this ...
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 ...