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公开(公告)号:US20220215260A1
公开(公告)日:2022-07-07
申请号:US17702064
申请日:2022-03-23
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: George DASOULAS , Ludovic DOS SANTOS , Kevin SCAMAN , Aladin VIRMAUX
Abstract: A data processing system for implementing a machine learning process in dependence on a graph neural network, the system being configured to receive a plurality of input graphs each having a plurality of nodes, at least some of the nodes having an attribute, the system being configured to: for at least one graph of the input graphs: determine one or more sets of nodes of the plurality of nodes, the nodes of each set having identical attributes; for each set, assign a label to each of the nodes of that set so that each node of a set has a different label from the other nodes of that set; process the sets to form an aggregate value; and implement the machine learning process taking as input: (i) the input graphs with the exception of the said sets and (ii) the aggregate value.