Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG)

Mehwish Alam; Davide Buscaldi; Diego Reforgiato Recupero; Michael Cochez; Genet Asefa Gesese; Francesco Osborne

doi:10.1145/3637528.3671491

Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG)

Mehwish Alam
, Davide Buscaldi
, Diego Reforgiato Recupero
, Michael Cochez
, Genet Asefa Gesese
, Francesco Osborne

Laboratoire d'Informatique de Paris Nord
Universitá di Cagliari
Vrije Universiteit Amsterdam
FIZ Karlsruhe - Leibniz Institute for Information Infrastructure
The Open University

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

Résumé

The use of Knowledge Graphs (KGs) which constitute large networks of real-world entities and their interrelationships, has grown rapidly. A substantial body of research has emerged, exploring the integration of deep learning (DL) and large language models (LLMs) with KGs. This workshop aims to bring together leading researchers in the field to discuss and foster collaborations on the intersection of KG and DL/LLMs.

langue originale	Anglais
titre	KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Editeur	Association for Computing Machinery
Pages	6704-6705
Nombre de pages	2
ISBN (Electronique)	9798400704901
Les DOIs	https://doi.org/10.1145/3637528.3671491
état	Publié - 24 août 2024
Evénement	30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024 - Barcelona, Espagne Durée: 25 août 2024 → 29 août 2024

Série de publications

Nom	Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
ISSN (imprimé)	2154-817X

Une conférence

Une conférence	30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024
Pays/Territoire	Espagne
La ville	Barcelona
période	25/08/24 → 29/08/24

Accès au document

10.1145/3637528.3671491

Contient cette citation

Alam, M., Buscaldi, D., Reforgiato Recupero, D., Cochez, M., Gesese, G. A., & Osborne, F. (2024). Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG). Dans KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (p. 6704-6705). (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). Association for Computing Machinery. https://doi.org/10.1145/3637528.3671491

Alam, Mehwish ; Buscaldi, Davide ; Reforgiato Recupero, Diego et al. / Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG). KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2024. p. 6704-6705 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

@inproceedings{73ceb4d7554b496982a408c31d0eec56,

title = "Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG)",

abstract = "The use of Knowledge Graphs (KGs) which constitute large networks of real-world entities and their interrelationships, has grown rapidly. A substantial body of research has emerged, exploring the integration of deep learning (DL) and large language models (LLMs) with KGs. This workshop aims to bring together leading researchers in the field to discuss and foster collaborations on the intersection of KG and DL/LLMs.",

keywords = "artificial intelligence, deep learning, knowledge graphs, large language models",

author = "Mehwish Alam and Davide Buscaldi and \{Reforgiato Recupero\}, Diego and Michael Cochez and Gesese, \{Genet Asefa\} and Francesco Osborne",

note = "Publisher Copyright: {\textcopyright} 2024 Copyright held by the owner/author(s).; 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024 ; Conference date: 25-08-2024 Through 29-08-2024",

year = "2024",

month = aug,

day = "24",

doi = "10.1145/3637528.3671491",

language = "English",

series = "Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining",

publisher = "Association for Computing Machinery",

pages = "6704--6705",

booktitle = "KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining",

}

Alam, M, Buscaldi, D, Reforgiato Recupero, D, Cochez, M, Gesese, GA & Osborne, F 2024, Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG). Dans KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, p. 6704-6705, 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Espagne, 25/08/24. https://doi.org/10.1145/3637528.3671491

Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG). / Alam, Mehwish; Buscaldi, Davide; Reforgiato Recupero, Diego et al.
KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2024. p. 6704-6705 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

TY - GEN

T1 - Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG)

AU - Alam, Mehwish

AU - Buscaldi, Davide

AU - Reforgiato Recupero, Diego

AU - Cochez, Michael

AU - Gesese, Genet Asefa

AU - Osborne, Francesco

PY - 2024/8/24

Y1 - 2024/8/24

N2 - The use of Knowledge Graphs (KGs) which constitute large networks of real-world entities and their interrelationships, has grown rapidly. A substantial body of research has emerged, exploring the integration of deep learning (DL) and large language models (LLMs) with KGs. This workshop aims to bring together leading researchers in the field to discuss and foster collaborations on the intersection of KG and DL/LLMs.

AB - The use of Knowledge Graphs (KGs) which constitute large networks of real-world entities and their interrelationships, has grown rapidly. A substantial body of research has emerged, exploring the integration of deep learning (DL) and large language models (LLMs) with KGs. This workshop aims to bring together leading researchers in the field to discuss and foster collaborations on the intersection of KG and DL/LLMs.

KW - artificial intelligence

KW - deep learning

KW - knowledge graphs

KW - large language models

U2 - 10.1145/3637528.3671491

DO - 10.1145/3637528.3671491

M3 - Conference contribution

AN - SCOPUS:85203705907

T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

SP - 6704

EP - 6705

BT - KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

PB - Association for Computing Machinery

T2 - 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024

Y2 - 25 August 2024 through 29 August 2024

ER -

Alam M, Buscaldi D, Reforgiato Recupero D, Cochez M, Gesese GA, Osborne F. Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG). Dans KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery. 2024. p. 6704-6705. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). doi: 10.1145/3637528.3671491

Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG)

Résumé

Série de publications

Une conférence

Accès au document

Empreinte digitale

Contient cette citation