US 12,267,337 B2
Feature detection with neural network classification of images representations of temporal graphs
Robert Hercock, London (GB)
Assigned to British Telecommunications Public Limited Company United, (GB)
Appl. No. 17/593,626
Filed by BRITISH TELECOMMUNICATIONS PUBLIC LIMITED COMPANY, London (GB)
PCT Filed Mar. 18, 2020, PCT No. PCT/EP2020/057531
§ 371(c)(1), (2) Date Sep. 21, 2021,
PCT Pub. No. WO2020/193331, PCT Pub. Date Oct. 1, 2020.
Claims priority of application No. 19164779 (EP), filed on Mar. 23, 2019.
Prior Publication US 2022/0255953 A1, Aug. 11, 2022
Int. Cl. H04L 9/40 (2022.01); G06F 16/901 (2019.01); G06F 18/20 (2023.01); G06V 10/44 (2022.01); G06V 10/82 (2022.01); H04L 41/16 (2022.01)
CPC H04L 63/1416 (2013.01) [G06F 16/9024 (2019.01); G06F 18/29 (2023.01); G06V 10/457 (2022.01); G06V 10/82 (2022.01); H04L 41/16 (2013.01); H04L 63/1425 (2013.01); H04L 63/1441 (2013.01)] 10 Claims
OG exemplary drawing
 
1. A computer implemented method of feature detection in temporal graph data structures of events, the method comprising:
receiving a temporal series of graph data structures of events each including a plurality of nodes corresponding to events and edges connecting the nodes corresponding to relationships between events;
rendering each graph data structure in the temporal series as an image representation of the graph data structure including a representation of the nodes and the edges in the graph data structure being rendered reproducibly in a cartesian space based on attributes of the nodes and the edges, so as to generate a temporal series of image representations ordered according to the temporal graph data structures; and
processing the temporal series of image representations by a convolutional neural network to classify the temporal series of image representations so as to identify a feature in the temporal series of image representations, the convolutional neural network being trained by a supervised training method including a plurality of training example image series in which a subset of the plurality of training example image series are classified as including the feature.