no code implementations • 11 Aug 2023 • Jeff Z. Pan, Simon Razniewski, Jan-Christoph Kalo, Sneha Singhania, Jiaoyan Chen, Stefan Dietze, Hajira Jabeen, Janna Omeliyanenko, Wen Zhang, Matteo Lissandrini, Russa Biswas, Gerard de Melo, Angela Bonifati, Edlira Vakaj, Mauro Dragoni, Damien Graux
Large Language Models (LLMs) have taken Knowledge Representation -- and the world -- by storm.
1 code implementation • ECML PKDD 2021 • Afshin Sadeghi, Diego Collarana, Damien Graux, Jens Lehmann
Capturing not only local graph structure but global features of entities are crucial for prediction tasks on Knowledge Graphs.
Ranked #2 on Link Property Prediction on ogbl-biokg
no code implementations • 7 Oct 2019 • Mohamed Nadjib Mami, Damien Graux, Harsh Thakkar, Simon Scerri, Sören Auer, Jens Lehmann
In particular, we study which query language is a most suitable candidate for that 'universal' query language.
2 code implementations • 25 May 2019 • Afshin Sadeghi, Damien Graux, Hamed Shariat Yazdi, Jens Lehmann
We propose the Multiple Distance Embedding model (MDE) that addresses these limitations and a framework to collaboratively combine variant latent distance-based terms.
Ranked #7 on Link Prediction on FB15k