Document is current
Any future updates will be listed below
-
Authors
Heydaribeni, Nasimeh https://orcid.org/0000-0001-8097-9885
Zhan, Xinrui
Zhang, Ruisi https://orcid.org/0000-0002-9554-8073
Eliassi-Rad, Tina
Koushanfar, Farinaz https://orcid.org/0000-0003-0798-3794
-
Funding
Funding for this research was provided by:
United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office (W911NF-21-1-0322, W911NF-21-1-0322, W911NF-21-1-0322, W911NF-21-1-0322, W911NF-21-1-0322)
National Science Foundation (2112665, 2112665, 211266)
- License Information
-
More Information
Article History
Received: 15 November 2023
Accepted: 9 April 2024
First Online: 30 May 2024
Competing interests
: N.H., R.Z., T.E.-R. and F.K are listed as inventors on a patent application (serial number 63/641,601) on distributed constrained combinatorial optimization leveraging HyperGNNs. X.Z. declares no competing interests.
