Het-node2vec: second-order random walk sampling for heterogeneous graph embedding
Abstract Many real-world problems are naturally modeled as heterogeneous graphs, where nodes and edges represent multiple types of entities and relations. Existing learning models for heterogeneous graph representation usually depend on the computation of specific, user-defined heterogeneous paths, or on the applicatio...
Mauricio Soto-Gomez, Carlos Cano, Justin Reese et al.
· Scientific Reports · 0 citations