International Business Machines Corporation
Scalable Attributed Graph Embedding for Large-Scale Graph Analytics
Last updated:
Abstract:
A computer-implemented method for calculating Scalable Attributed Graph Embedding for Large-Scale Graph Analytics that includes computing a node embedding for a first node-attributed graph in a node embedded space. One or more random attributed graphs is generated in the node embedded space. A graph embedding operation is performed using a dissimilarity measure between one or more raw graphs and the one or more generated random graphs, and an edge-attributed graph into a second node-attributed graph using an adjoint graph.
Status:
Application
Type:
Utility
Filling date:
15 May 2020
Issue date:
18 Nov 2021