<div class="csl-bib-body">
<div class="csl-entry">Barcelo, P., Jogl, F., Kozachinskiy, A., Lanzinger, M. P., Neumann, S., & Rojas, C. (2026). Message Passing on the Edge: Towards Scalable and Expressive {GNN}s. In <i>Forty-third International Conference on Machine Learning : ICML 2026</i>. Forty-Third International Conference on Machine Learning (ICML 2026), Seoul, Korea (the Republic of).</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/230075
-
dc.description.sponsorship
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
-
dc.description.sponsorship
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
-
dc.language.iso
en
-
dc.subject
graph neural networks
en
dc.subject
arboricity
en
dc.subject
subgraph counting
en
dc.title
Message Passing on the Edge: Towards Scalable and Expressive {GNN}s
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
Pontificia Universidad Católica de Chile, Chile
-
dc.relation.grantno
VRG23-013
-
dc.relation.grantno
ICT22-011
-
dc.type.category
Full-Paper Contribution
-
tuw.booktitle
Forty-third International Conference on Machine Learning : ICML 2026
-
tuw.peerreviewed
true
-
tuw.project.title
Towards Trustworthy Recommendation Systems for Online Social Networks
-
tuw.project.title
Decompose and Conquer: Fast Query Processing via Decomposition
-
tuw.researchTopic.id
C4
-
tuw.researchTopic.name
Mathematical and Algorithmic Foundations
-
tuw.researchTopic.value
100
-
tuw.publication.orgunit
E194-06 - Forschungsbereich Machine Learning
-
tuw.publication.orgunit
E192-02 - Forschungsbereich Databases and Artificial Intelligence
