Work

Automatic Completion of Underground Utility Topologies Using Graph Convolutional Networks

Year: 2024

Type: article

Source: Journal of Computing in Civil Engineering

DOI: 10.1061/jccee5.cpeng-5953

Authors: Yang Su, Jun Wang, Peng Wu, Chengke Wu, Aobo Yue, Wenchi Shou

Institutions: Curtin University, Western Sydney University, Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Chongqing University

Language: English

Topic: Advanced Graph Neural Networks

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

OpenAlex ID: W4404744585

FWCI: 0.296

Cites: 58

Cited by: 2

Related to: 10