activity
20232026
most citedGraph Pattern-based Association Rules Evaluated Under No-repeated-anything Semantics in the Graph Transactional Setting

1 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

Do Metrics for Counterfactual Explanations Align with User Perception?

Felix Liedeker, Basil Ell, Philipp Cimiano +1

Explainability is widely regarded as essential for trustworthy artificial intelligence systems. However, the metrics commonly used to evaluate counterfactual explanations are algor…

physics.chem-ph2026

tmQM-RDF Dataset: a Knowledge Graph Representing Transition Metal Complexes

Luca Cibinel, Trond Linjordet, Johan Pensar +3

Transition Metal Complexes (TMCs) have wide-ranging practical utility in chemistry, with possible applications that range from catalysis to medicinal chemistry. The study of TMCs a…

cs.DB2025★ 1 cited

Graph Pattern-based Association Rules Evaluated Under No-repeated-anything Semantics in the Graph Transactional Setting

Basil Ell

We introduce graph pattern-based association rules (GPARs) for directed labeled multigraphs such as RDF graphs. GPARs support both generative tasks, where a graph is extended, and…

cond-mat.mtrl-sci2025

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Simon Bekemeier, Moritz Blum, Luana Caron +15

Refrigeration based on the magnetocaloric effect (MCE) can contribute to energysaving, environmentally friendly cooling in private households, or industrial application. The coolin…

cs.LG2024

Numerical Literals in Link Prediction: A Critical Examination of Models and Datasets

Moritz Blum, Basil Ell, Hannes Ill +1

Link Prediction(LP) is an essential task over Knowledge Graphs(KGs), traditionally focussed on using and predicting the relations between entities. Textual entity descriptions have…

cs.CL2024

Pointing out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials

Gennaro Nolano, Moritz Blum, Basil Ell +1

In recent years, large language models have achieved state-of-the-art performance across various NLP tasks. However, investigations have shown that these models tend to rely on sho…

cs.DB2023★ 1 cited

Insights from an OTTR-centric Ontology Engineering Methodology

Moritz Blum, Basil Ell, Philipp Cimiano

OTTR is a language for representing ontology modeling patterns, which enables to build ontologies or knowledge bases by instantiating templates. Thereby, particularities of the ont…