The task of inductive knowledge graph completion requires models to lear...
Hyper-relational knowledge graphs (HKGs) extend standard knowledge graph...
In the recently proposed Lace framework for collective entity resolution...
Unsupervised commonsense reasoning (UCR) is becoming increasingly popula...
We investigate the knowledge graph entity typing task which aims at infe...
Multi-hop reasoning over real-life knowledge graphs (KGs) is a highly
ch...
We investigate the problem of finite entailment of ontology-mediated que...
Ontologies formalise how the concepts from a given domain are interrelat...
We study query answering in the description logic 𝒮𝒬 supporting
qualifie...
We study the description logic SQ with number restrictions applicable to...
We study the problem of finite entailment of ontology-mediated queries. ...
Description logics (DLs) are standard knowledge representation languages...
State-of-the-art inference approaches in probabilistic logic programming...
We propose a novel framework to facilitate the on-demand design of
data-...
Markov Logic Networks (MLNs) are well-suited for expressing statistics s...
Markov Logic Networks (MLNs) are well-suited for expressing statistics s...
Recent years have witnessed the enormous success of low-dimensional vect...