The Weisfeiler–Lehman (WL) test is a fundamental iterative algorithm for...
Graph neural networks are prominent models for representation learning o...
Knowledge graphs, modeling multi-relational data, improve numerous
appli...
In peer review systems, reviewers are often asked to evaluate various
fe...
Formal XAI (explainable AI) is a growing area that focuses on computing
...
Several queries and scores have recently been proposed to explain indivi...
Various recent proposals increase the distinguishing power of Graph Neur...
In Machine Learning, the 𝖲𝖧𝖠𝖯-score is a version of the Shapley
value th...
We focus on ontology-mediated queries (OMQs) based on (frontier-)guarded...
We study the complexity of various fundamental counting problems that ar...
In spite of several claims stating that some models are more interpretab...
In ontology-mediated querying, description logic (DL) ontologies are use...
Ontology-mediated querying and querying in the presence of constraints a...
We study the complexity of various fundamental counting problems that ar...
We study the expressive power of the LARA language – a recently proposed...
Conjunctive query (CQ) evaluation is NP-complete, but becomes tractable ...
We study the boundedness problem for unions of conjunctive regular path
...
Alternatives to recurrent neural networks, in particular, architectures ...
We report on a community effort between industry and academia to shape t...