Automatic Completion of Underground Utility Topologies Using Graph Convolutional Networks

journal contribution

posted on 2025-01-29, 04:45 authored by Yang Su, Jun WangJun Wang, Peng Wu, Chengke Wu, Aobo Yue, Wenchi Shou

Automatic Completion of Underground Utility Topologies Using Graph Convolutional Networks

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1.
DOI - Is version of https://doi.org/10.1061/JCCEE5.CPENG-5953

Location

New York, N.Y.

Open access

No

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Journal

Journal of Computing in Civil Engineering

Volume

39

Article number

ARTN 04024054

Pagination

1-16

ISSN

0887-3801

eISSN

1943-5487

Issue

1

Publisher

American Society of Civil Engineers

Publication URL

https://doi.org/10.1061/jccee5.cpeng-5953

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Categories

Keywords

Computer Science Computer Science, Interdisciplinary Applications Deep learning Engineering Engineering, Civil Graph convolutional networks (GCN)IMPUTATION REGRESSION Science & Technology Technology Topology completion Underground utilities

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All Rights Reserved

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