| Vol-3034 urn:nbn:de:0074-3034-0 Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2021 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# DL4KG 2021
Deep Learning for Knowledge Graphs 2021

### Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2021)
co-located with the 20th International Semantic Web Conference (ISWC 2021)

### Virtual Conference, online, October 25, 2021.

Edited by

### Mehwish Alam *
Davide Buscaldi **
Michael Cochez ***
Francesco Osborne ****
Diego Reforgiato Recupero *****
Harald Sack *

* FIZ Karlsruhe, Leibniz Institute for Information Infrastructure, Germany
** Université Paris 13, 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

- Preface
  Summary: There were 10 papers submitted for peer-review to this workshop. Out of these, 8 papers were accepted for this volume.

### Papers

- Quality Assessment of Knowledge Graph Hierarchies using KG-BERT
  Kinga Szarkowska, Veronique Moore, Pierre-Yves Vandenbussche, Paul Groth
- Language Models As or For Knowledge Bases
  Simon Razniewski, Andrew Yates, Nora Kassner, Gerhard Weikum
- GraphPOPE: Retaining Structural Graph Information Using Position-aware Node Embeddings
  Jeroen Den Boef, Joran Cornelisse, Paul Groth
- Challenges of Applying Knowledge Graph and their Embeddings to a Real-world Use-case
  Rick Petzold, Genet Asefa Gesese, Viktoria Bogdanova, Thorsten Zylowski, Harald Sack, Mehwish Alam
- Knowledge Graph Embeddings or Bias Graph Embeddings? A Study of Bias in Link Prediction Models
  Andrea Rossi, Paolo Merialdo, Donatella Firmani
- Integrating Contextual Knowledge to Visual Features for Fine Art Classification
  Giovanna Castellano, Giovanni Sansaro, Gennaro Vessio
- Generating Table Vector Representations
  Aneta Koleva, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
- Understanding Class Representations: An Intrinsic Evaluation of Zero-Shot Text Classification
  Fabian Hoppe, Danilo Dessì, Harald Sack

2021-12-10: submitted by Michael Cochez, metadata incl. bibliographic data published under Creative Commons CC0
2021-12-10: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|