US 12,231,300 B2
Heterogeneous graph learning-based unified network representation
Pengfei Sun, Reno, NV (US); Qihong Shao, Clyde Hill, WA (US); and David C. White, Jr., St. Petersburg, FL (US)
Assigned to CISCO TECHNOLOGY, INC., San Jose, CA (US)
Filed by Cisco Technology, Inc., San Jose, CA (US)
Filed on Jun. 14, 2023, as Appl. No. 18/334,735.
Prior Publication US 2024/0422069 A1, Dec. 19, 2024
Int. Cl. G06F 15/16 (2006.01); H04L 41/12 (2022.01); H04L 41/14 (2022.01); H04L 41/16 (2022.01)
CPC H04L 41/145 (2013.01) [H04L 41/12 (2013.01); H04L 41/16 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
obtaining information describing a plurality of network implementations, the information including a heterogeneous plurality of nodes;
generating a one-hop graph connecting a particular node of the heterogeneous plurality of nodes with a set of related nodes of the heterogeneous plurality of nodes, the one-hop graph connecting the particular node with the set of related nodes via corresponding edges; and
transforming the one-hop graph into a weighted graph based on a Dynamic Meta Path Transformation (DMPT), wherein each of the corresponding edges connecting the particular node to a corresponding related node among the set of related nodes is associated with a corresponding weight.