5 citations · 5 across the 2 of their papers we have counts for
5 papers
Revisiting Catastrophic Forgetting in Continual Knowledge Graph Embedding
Gerard Pons, Carlos Escolano, Besim Bilalli +1
Knowledge Graph Embeddings (KGEs) support a wide range of downstream tasks over Knowledge Graphs (KGs). In practice, KGs evolve as new entities and facts are added, motivating Cont…
Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation
Gerard Pons, Besim Bilalli, Anna Queralt
Recent advances in Large Language Models (LLMs) have positioned them as a prominent solution for Natural Language Processing tasks. Notably, they can approach these problems in a z…
Towards Continuous Experiment-driven MLOps
Keerthiga Rajenthiram, Milad Abdullah, Ilias Gerostathopoulos +5
Despite advancements in MLOps and AutoML, ML development still remains challenging for data scientists. First, there is poor support for and limited control over optimizing and evo…
FREYJA: Efficient Join Discovery in Data Lakes
Marc Maynou, Sergi Nadal, Raquel Panadero +3
Data lakes are massive repositories of raw and heterogeneous data, designed to meet the requirements of modern data storage. Nonetheless, this same philosophy increases the complex…
Capturing and Anticipating User Intents in Data Analytics via Knowledge Graphs
Gerard Pons, Besim Bilalli, Anna Queralt
In today's data-driven world, the ability to extract meaningful information from data is becoming essential for businesses, organizations and researchers alike. For that purpose, a…