Abstract: Knowledge graphs (KGs) can provide structured knowledge to assist large language models (LLMs) in interpretable reasoning. Knowledge graph question answering (KGQA) is a typical benchmark to ...
Abstract: Learning bipartite graph structures from data is a fundamental yet challenging problem in graph signal processing. Unlike general graph learning (GL) methods, bipartite models are especially ...
A formal ontology and labeled property graph for multi-framework business model representation, grounded in Basic Formal Ontology (BFO) and implemented in Neo4j. Companion repository for the paper: ...
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