collaborators

5 papers

cs.DB2026

Identifiability of Relational Queries in Multi-View Pretraining

Ratan Bahadur Thapa, Daniel Hernández

When data sources are integrated through a shared interface, a downstream query may or may not be determined by what the interface exposes: two globally consistent worlds can agree…

cs.LG2026

Half a Link can Be Enough to Predict a Whole Link: Understanding Generalization in Knowledge Graph Foundation Models

Cosimo Gregucci, Obaidah Theeb, Daniel Hernandez +2

Knowledge graph (KG) foundation models (KGFMs) are zero-shot generalizers: trained once, they can predict links on unseen graphs without retraining. However, understanding when and…

cs.DB2026

Transforming Shape Schemas with Composable Property-Graph Queries (Extended Version)

Philipp Seifer, Daniel Hernández, Ralf Lämmel +1

Property graphs may be constrained by schemas that inform both query engines and human users about the shape of valid data, enforcing a contract between data provider and consumer.…

cs.AI2026

KAPPS: A knowledge-based CPPS Architecture for the Circular Factory

Etienne Hoffmann, Jan-Felix Klein, Sören Weindel +7

While linear manufacturing relies on homogeneous materials and predefined process sequences, circular manufacturing reintroduces used products with heterogeneous and uncertain cond…

cs.AI2026

ProbSPARQL: Querying Knowledge Graphs with Multi-dimensional, Uncertain Numeric Data

Jingcheng Wu, Ratan Bahadur Thapa, Daniel Hernandez +2

The SFB 1574 Circular Factory is building a shared knowledge graph infrastructure for integrating data about returned products. A central challenge is that circular-factory data in…