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

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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.

Original language	English
Title of host publication	KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Publisher	Association for Computing Machinery
Pages	6704-6705
Number of pages	2
ISBN (Electronic)	9798400704901
DOIs	https://doi.org/10.1145/3637528.3671491
Publication status	Published - 2024
Event	30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024 - Barcelona, Spain Duration: 25 Aug 2024 → 29 Aug 2024

Conference

Conference	30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024
Country/Territory	Spain
City	Barcelona
Period	25/08/24 → 29/08/24

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Publisher Copyright:
© 2024 Copyright held by the owner/author(s).

Keywords

artificial intelligence
deep learning
knowledge graphs
large language models

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10.1145/3637528.3671491

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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). In KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 6704-6705). Association for Computing Machinery. https://doi.org/10.1145/3637528.3671491

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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",

doi = "10.1145/3637528.3671491",

language = "English",

pages = "6704--6705",

booktitle = "KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining",

publisher = "Association for Computing Machinery",

}

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). in KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, pp. 6704-6705, 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, 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 '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2024. p. 6704-6705.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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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

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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.

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KW - deep learning

KW - knowledge graphs

KW - large language models

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DO - 10.1145/3637528.3671491

M3 - Conference contribution

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EP - 6705

BT - KDD '24: 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 -

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

Abstract

Conference

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Keywords

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