Record link: 
http://hdl.handle.net/20.500.12708/230075
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Title: 
Message Passing on the Edge: Towards Scalable and Expressive {GNN}s
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Citation: 
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 Forty-third International Conference on Machine Learning : ICML 2026. Forty-Third International Conference on Machine Learning (ICML 2026), Seoul, Korea (the Republic of). http://hdl.handle.net/20.500.12708/230075
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Barcelo, Pablo 
Jogl, Fabian 
Kozachinskiy, Alexander 
Lanzinger, Matthias Paul 
Neumann, Stefan 
Rojas, Cristobal 
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Organisational Unit: 
E194-06 - Forschungsbereich Machine Learning 
E192-02 - Forschungsbereich Databases and Artificial Intelligence 
E056-28 - Fachbereich Computational Sustainability 
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Published in: 
Forty-third International Conference on Machine Learning : ICML 2026 
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Date (published): 
2026
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Event name: 
Forty-Third International Conference on Machine Learning (ICML 2026) 
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Event date: 
6-Jul-2026 - 11-Jul-2026
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Event place: 
Seoul, Korea (the Republic of)
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Number of Pages: 
26
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Peer reviewed: 
Yes
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Keywords: 
graph neural networks; arboricity; subgraph counting
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Project title: 
Towards Trustworthy Recommendation Systems for Online Social Networks: VRG23-013 (WWTF Wiener Wissenschafts-, Forschu und Technologiefonds) 
Decompose and Conquer: Fast Query Processing via Decomposition: ICT22-011 (WWTF Wiener Wissenschafts-, Forschu und Technologiefonds) 
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Research Areas: 
Mathematical and Algorithmic Foundations: 100%
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Science Branch: 
1020 - Informatik: 90%
5020 - Wirtschaftswissenschaften: 10%
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Appears in Collections:
Conference Paper

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