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公开(公告)号:US12271423B1
公开(公告)日:2025-04-08
申请号:US17876412
申请日:2022-07-28
Applicant: Splunk, Inc.
IPC: G06F17/00 , G06F7/00 , G06F16/22 , G06F16/901 , G06N3/08
Abstract: A computerized method is disclosed that includes operations of receiving incoming data including event data, extracting entities from the event data based on a graph ontology, generating a graph-based dense representation of each graph entity according to the graph ontology, wherein the graph-dense representations are stored in a vector database, computing relatedness scores between each of the entities, generating a listing of events related to a selected event, wherein the listing of events is ordered by corresponding relatedness scores, generating a graphical user interface illustrating the listing of events related to the selected event, and causing rendering of the graphical user interface on a display screen of a network device. Generating the graph-based dense representations may include training a graph neural network model on a corpus of metapaths to produce node embeddings.