16 citations · 24 across the 3 of their papers we have counts for
4 papers
Large Language Models and Knowledge Graphs: Opportunities and Challenges
Jeff Z. Pan, Simon Razniewski, Jan-Christoph Kalo +13
Large Language Models (LLMs) have taken Knowledge Representation -- and the world -- by storm. This inflection point marks a shift from explicit knowledge representation to a renew…
Efficient Semantic Summary Graphs for Querying Large Knowledge Graphs
Emetis Niazmand, Gezim Sejdiu, Damien Graux +1
Knowledge Graphs (KGs) integrate heterogeneous data, but one challenge is the development of efficient tools for allowing end users to extract useful insights from these sources of…
The Query Translation Landscape: a Survey
Mohamed Nadjib Mami, Damien Graux, Harsh Thakkar +3
Whereas the availability of data has seen a manyfold increase in past years, its value can be only shown if the data variety is effectively tackled ---one of the prominent Big Data…
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs
Afshin Sadeghi, Damien Graux, Hamed Shariat Yazdi +1
Over the past decade, knowledge graphs became popular for capturing structured domain knowledge. Relational learning models enable the prediction of missing links inside knowledge…