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