Multilayer Knowledge Graph Analysis (Multi-Relational Network Framework)

A standard knowledge graph encodes facts as triples (subject, relation, object), but lumping all relation types into one undifferentiated network obscures important structure. Imagine a library catalogue: authorship, citation, and co-authorship are distinct relationship types that carry different information. Multilayer knowledge graph analysis stacks these as separate but coupled layers over the same entity set. Patterns visible only across layers — such as authors who co-write and also cite each other heavily — emerge naturally from the multilayer representation, enabling richer inference than any single-layer projection allows.