Vol-3893⫷ Vol-3894 ⫸Vol-3895
urn:nbn:de:0074-3894-2





KiL 2024 and DL4KG 2024
KiL 2024: 4th International Workshop on Knowledge-infused Learning (Towards Consistent, Reliable, Explainable, and Safe LLMs) and DL4KG 2024: Deep Learning and Large Language Models for Knowledge Graphs 2024


Joint Proceedings of the Workshop on Knowledge-infused Learning and the workshop on Deep Learning and Large Language Models for Knowledge Graphs
co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

Barcelona, Spain, August 26, 2024 .


Edited by

Manas Gaur *
Efthymia Tsamoura **
Edward Raff ***
Nikhita Vedula ****
Srinivasan Parthasarathy *****
Genet Asefa Gesese +
Mehwish Alam ++
Davide Buscaldi +++
Michael Cochez ++++
Francesco Osborne +++++
Diego Reforgiato Recupero ++++++

* University of Maryland, Baltimore County , Baltimore, Maryland, United States
** Samsung Research , Cambridge, United Kingdom
*** Booz Allen Hamilton , United States
**** Amazon , United States
***** Ohio State University , Columbus, Ohio, United States
+ FIZ Karlsruhe, Germany ++ Télécom Paris , Institut Polytechnique de Paris, France
+++ Université Sorbonne Paris Nord , Labortoire d'Informatique Paris Nord (LIPN), Paris, France
++++ KRR , Vrije Universiteit Amsterdam, the Netherlands
+++++ KMI , Knowledge Media Institute, The Open University, UK
++++++ University of Cagliari , Department of Mathematics and Computer Science, Cagliari, Italy




Table of Contents

Workshop on Knowledge-infused Learning (KiL 2024)

Papers

Deep Learning and Large Language Models for Knowledge Graphs (DL4KG 2024)

Papers


2024-12-31: submitted by Manas Gaur, 2025-01-27: ammendment Michael Cochez, metadata incl. bibliographic data published under Creative Commons CC0
2025-01-09 : published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) | valid HTML5 |