Unveiling the dynamic interactions between spatial objects : a graph learning approach with evolving constraints

Glake, Daniel; Lenfers, Ulfia; Clemen, Thomas; Ritter, Norbert

doi:10.1145/3609956.3609965

Publisher DOI:	10.1145/3609956.3609965
Title:	Unveiling the dynamic interactions between spatial objects : a graph learning approach with evolving constraints
Language:	English
Authors:	Glake, Daniel Lenfers, Ulfia Clemen, Thomas Ritter, Norbert
Keywords:	evolving-networks; graph-neural-networks; interaction-inference
Issue Date:	24-Aug-2023
Publisher:	Association for Computing Machinery
Part of Series:	Proceedings of the 18th International Symposium on Spatial and Temporal Data
Startpage:	31
Endpage:	40
Conference:	International Symposium on Spatial and Temporal Data 2023
URI:	https://hdl.handle.net/20.500.12738/16757
ISBN:	979-8-4007-0899-2
Review status:	This version was peer reviewed (peer review)
Institute:	Department Informatik Fakultät Technik und Informatik
Type:	Chapter/Article (Proceedings)
Appears in Collections:	Publications without full text