A Declarative Framework for Constrained Clique Detection in Heterogeneous Knowledge Graphs via ASP

Balancing Richness and Reliability: An Explore-Construct-Verify Framework for API Knowledge Graph Construction

This work proposes Explore-Construct-Verify (ECV), a three-stage framework for API KG construction using large language models (LLMs), which preserves LLMs’ ability to discover domain-specific knowledge while enabling efficient post-hoc validation.

Archival Knowledge Graphs: Balancing Semantic Richness and Accessibility of Hierarchical Structures

The Semantic Tree Advanced module is presented, a specialized hierarchical navigation component for the ResearchSpace platform addressing performance and usability limitations in browsing RDF knowledge graphs.

Deriving Uncertain Knowledge in Knowledge Graphs Under Theoretical Mapping of Heuristics

This paper proposes a deterministic, explainable framework for validating uncertain entities during Knowledge Graph (KG) expansion. The contribution is conceptual and formal: we present the framework and demonstrate its internal mathematical coherence, while empirical evaluation is explicitly deferred to future work. S...

NEXO: Adaptive Visualization for Comparative Exploration of Knowledge Graphs with Natural Language Interaction

Enabling Knowledge Graph Understanding at Scale with the EXplore Your Graphs ENgine (EXYGEN)

We present EXYGEN (EXplore Your Graphs ENgine), a framework for knowledge graph (KG) understanding that enables conversational access to KGs at scale. We address two questions in sequence. First, how effectively can LLMs perform text-to-SPARQL generation given only automatically derived structured metadata and small gr...

From Topology to Cognition: A Unified Graph-Driven Framework for Scalable Intelligent Data Mining

Modern data are increasingly represented and utilized as interconnected networks, including collaboration graphs, multi-relational user–item interactions, and schema-less knowledge graphs that support retrieval-augmented generation pipelines. While graph analytics has become a key foundation for intelligent data mining...