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Title: GraphParcelNet: Predicting Parcel-Level Imperviousness from Geospatial Vector Data using Graph Neural Networks
Award ID(s):
2318641 2050986
PAR ID:
10626425
Author(s) / Creator(s):
; ; ;
Publisher / Repository:
ACM
Date Published:
ISBN:
9798400711077
Page Range / eLocation ID:
293 to 303
Format(s):
Medium: X
Location:
Atlanta GA USA
Sponsoring Org:
National Science Foundation
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