<div class="csl-bib-body">
<div class="csl-entry">Welke, P. (2024, November 25). <i>Expressive Graph Representations via Homomorphisms</i> [Presentation]. CAIML Seminar, Wien, Austria.</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/205196
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dc.description.abstract
Graphs can naturally model complex systems such as chemical molecules or social networks. However, their complex and irregular structure makes learning from graphs a challenging and fascinating area of research. In this talk, I will explore the intersection of graph representation learning and homomorphism counting—a technique to measure how frequently specific patterns occur in graphs. Homomorphism counting has emerged as a powerful tool in the study and development of graph neural networks (GNNs). I will focus on two areas: (1) Understanding and quantifying what GNNs can do and where they fail and (2) improving the capabilities of GNNs. Special interest in both these areas lies on the expressivity of GNNs, i.e., their ability to learn different representations for nonisomorphic graphs. I will present and discuss the basics, as well as recent results in this interesting and active area of research.
en
dc.description.sponsorship
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
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dc.language.iso
en
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dc.subject
graph representation learning
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dc.subject
Homomorphism
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dc.title
Expressive Graph Representations via Homomorphisms
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dc.type
Presentation
en
dc.type
Vortrag
de
dc.relation.grantno
ICT22-059
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dc.type.category
Presentation
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tuw.publication.invited
invited
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tuw.project.title
Structured Data Learning with Generalized Similarities
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tuw.researchTopic.id
I4
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tuw.researchTopic.name
Information Systems Engineering
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tuw.researchTopic.value
100
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tuw.linking
https://caiml.org/events/59/
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tuw.publication.orgunit
E194-06 - Forschungsbereich Machine Learning
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tuw.author.orcid
0000-0002-2123-3781
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tuw.event.name
CAIML Seminar
en
tuw.event.startdate
25-11-2024
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tuw.event.enddate
25-11-2024
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tuw.event.online
Hybrid
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tuw.event.type
Event for scientific audience
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tuw.event.place
Wien
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tuw.event.country
AT
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tuw.event.institution
TU Wien
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tuw.event.presenter
Welke, Pascal
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tuw.event.track
Single Track
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wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.value
100
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item.languageiso639-1
en
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item.openairetype
conference presentation
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item.grantfulltext
restricted
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item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/R60J-J5BD
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crisitem.author.dept
E194-06 - Forschungsbereich Machine Learning
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crisitem.author.orcid
0000-0002-2123-3781
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crisitem.author.parentorg
E194 - Institut für Information Systems Engineering
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crisitem.project.funder
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
