activity
20242026
most citedKnowledge Graphs for Enhancing Large Language Models in Entity Disambiguation

5 citations · 7 across the 5 of their papers we have counts for

collaborators

7 papers

cs.DB2026

DIADA: Automatic Data Composition in Data Lakes

Marc Maynou, Albert Martin, Sergi Nadal +2

Data lakes contain a plethora of attributes scattered across many tables that, when combined, provide enhanced assets for data analysis. Nonetheless, deciding which attributes belo…

cs.LG2026

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…

cs.LG2025

Improving Continual Learning of Knowledge Graph Embeddings via Informed Initialization

Gerard Pons, Besim Bilalli, Anna Queralt

Many Knowledege Graphs (KGs) are frequently updated, forcing their Knowledge Graph Embeddings (KGEs) to adapt to these changes. To address this problem, continual learning techniqu…

cs.LG2025★ 5 cited

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…

cs.SE2025

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…

cs.DB2024★ 1 cited

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…

cs.LG2024★ 1 cited

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…