Record link: 
http://hdl.handle.net/20.500.12708/210485
-
Title: 
Homomorphism Counts for Graph Neural Networks: All About That Basis
en
Citation: 
Jin, E., Bronstein, M. M., Ceylan, I. I., & Lanzinger, M. (2024). Homomorphism Counts for Graph Neural Networks: All About That Basis. In Forty-first International Conference on Machine Learning. Forty-first International Conference on Machine Learning, Austria. http://hdl.handle.net/20.500.12708/210485
-
Publication Type: 
Inproceedings - Full-Paper Contribution
en
Language: 
English
-
Authors: 
Jin, Emily 
Bronstein, Michael M. 
Ceylan, Ismail Ilkan 
Lanzinger, Matthias 
-
Organisational Unit: 
E192-02 - Forschungsbereich Databases and Artificial Intelligence 
-
Published in: 
Forty-first International Conference on Machine Learning 
-
Date (published): 
2024
-
Event name: 
Forty-first International Conference on Machine Learning 
en
Event date: 
21-Jul-2024 - 27-Jul-2024
-
Event place: 
Austria
-
Peer reviewed: 
Yes
-
Keywords: 
Graph Learning; Homomorphism Counting; Deep Learning; Graph Neural Networks; Geometric Deep Learning
en
Project title: 
Decompose and Conquer: Fast Query Processing via Decomposition: ICT22-011 (WWTF Wiener Wissenschafts-, Forschu und Technologiefonds) 
-
Link (external): 
https://arxiv.org/pdf/2402.08595v5
-
Research Areas: 
Logic and Computation: 60%
Information Systems Engineering: 40%
-
Science Branch: 
1020 - Informatik: 100%
-
Appears in Collections:
Conference Paper

Show full item record

Page view(s)

40
checked on Feb 3, 2025

Google ScholarTM

Check