First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024)

Boratto L.;Marras M.;Medda G.;
2024-01-01

Abstract

In the dynamic field of information retrieval, the adoption of graph-based approaches has become a notable research trend. Fueled by the growing research on Knowledge Graphs and Graph Neural Networks, these approaches rooted in graph theory have shown significant promise in enhancing the effectiveness and relevance of information retrieval results. With this motivation in mind, this workshop serves as a platform, bringing together researchers and practitioners from diverse backgrounds, to delve into and discuss the integration of modern graph-based methodologies into information retrieval methods. The workshop website is available at https://irongraphs.github.io/ecir2024/.
2024
Inglese
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9783031560682
9783031560699
Springer Science and Business Media Deutschland GmbH
GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
14612
415
421
7
46th European Conference on Information Retrieval, ECIR 2024
Comitato scientifico
2024
gbr
scientifica
Algorithms
Graph Neural Networks
Graphs
Information Retrieval
Knowledge Graphs
Recommendation
Search
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Boratto, L.; Malitesta, D.; Marras, M.; Medda, G.; Musto, C.; Purificato, E.
273
6
4.1 Contributo in Atti di convegno
none
info:eu-repo/semantics/conferencePaper
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