A graph neural network approach for product relationship prediction
Graph representation learning has revolutionized many artificial intelligence and machine
learning tasks in recent years, ranging from combinatorial optimization, drug discovery …
learning tasks in recent years, ranging from combinatorial optimization, drug discovery …
A network-based discrete choice model for decision-based design
Customer preference modelling has been widely used to aid engineering design decisions
on the selection and configuration of design attributes. Recently, network analysis …
on the selection and configuration of design attributes. Recently, network analysis …
Product Competition Prediction in Engineering Design Using Graph Neural Networks
Understanding relationships between different products in a market system and predicting
how changes in design impact their market position can be instrumental for companies to …
how changes in design impact their market position can be instrumental for companies to …
Automated Simulation and the Discovery of Mechanical Devices
K Chiu - 2024 - search.proquest.com
Automatically designing or finding novel devices that accomplish new or existing functions
remains one of the greatest unsolved problems in Design Automation. In part, this is due to …
remains one of the greatest unsolved problems in Design Automation. In part, this is due to …
Automatically discovering mechanical functions from physical behaviors via clustering
KN Chiu, D Anderson, MD Fuge - … and Information in …, 2021 - asmedigitalcollection.asme.org
Computational design methods provide opportunities to discover novel and diverse designs
that traditional optimization approaches cannot find or that use physical phenomena in ways …
that traditional optimization approaches cannot find or that use physical phenomena in ways …
[图书][B] Multi-Stage Customer Preferences Modeling Using Data-Driven Network Analysis
Y Cui - 2023 - search.proquest.com
This dissertation aims to develop innovative analytical methods that integrate engineering,
marketing, and social science disciplines to incorporate heterogeneous consumer …
marketing, and social science disciplines to incorporate heterogeneous consumer …
[PDF][PDF] Product Competition Prediction in Engineering Design Using Graph Neural Networks
Understanding relationships between different products in a market system and predicting
how changes in design impact their market position can be instrumental for companies to …
how changes in design impact their market position can be instrumental for companies to …