US 11,943,386 B2
Call graphs for telecommunication network activity detection
Elijah Hall, Plano, TX (US); Prince Paulraj, Coppell, TX (US); Ana Armenta, San Jose, CA (US); and Surya Murali, San Jose, CA (US)
Assigned to AT&T Intellectual Property I, L.P., Atlanta, GA (US)
Filed by AT&T Intellectual Property I, L.P., Atlanta, GA (US)
Filed on Dec. 31, 2021, as Appl. No. 17/566,886.
Prior Publication US 2023/0216968 A1, Jul. 6, 2023
Int. Cl. H04M 15/00 (2006.01); G06N 5/022 (2023.01); H04M 3/22 (2006.01)
CPC H04M 15/58 (2013.01) [G06N 5/022 (2013.01); H04M 3/2281 (2013.01); H04M 15/41 (2013.01); H04M 15/47 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
maintaining, by a processing system including at least one processor, a communication graph that includes nodes representing a plurality of phone numbers including a first phone number and edges between the nodes representing a plurality of communications between the plurality of phone numbers;
generating, by the processing system, at least one vector via a graph embedding process applied to the communication graph, the at least one vector representing features of at least a portion of the communication graph;
applying, by the processing system, the at least one vector to a prediction model that is implemented by the processing system and that is configured to predict whether the first phone number is associated with a type of network activity associated with a telecommunication network; and
implementing, by the processing system, a remedial action in response to an output of the prediction model indicating that the first phone number is associated with the type of network activity.