US Patent 11379270 Clustering tenants based on tenancy knowledge graph

A computer-implemented method includes constructing a tenancy knowledge graph having a plurality of tenant nodes representing respective tenants in a multitenant computing environment, a plurality of property nodes representing respective properties of the tenants, and a plurality of edges connecting the plurality of tenant nodes and the plurality of property nodes, transforming the plurality of property nodes to corresponding property vectors, performing random walks starting from the plurality of tenant nodes of the tenancy knowledge graph, feeding sequences of nodes traversed by the random walks into a neural network to generate a plurality of tenant vectors corresponding to the plurality of tenant nodes, and clustering the plurality of tenant nodes into one or more tenant clusters based on similarity of the plurality of tenant vectors.