Zobrazeno 1 - 10
of 4 385
pro vyhledávání: '"Geerts, P"'
The expressive power of message-passing graph neural networks (MPNNs) is reasonably well understood, primarily through combinatorial techniques from graph isomorphism testing. However, MPNNs' generalization abilities -- making meaningful predictions
Externí odkaz:
http://arxiv.org/abs/2412.07106
Expressivity and generalization are two critical aspects of graph neural networks (GNNs). While significant progress has been made in studying the expressivity of GNNs, much less is known about their generalization capabilities, particularly when dea
Externí odkaz:
http://arxiv.org/abs/2410.10051
Autor:
Daniëls, Noah, Geerts, Floris
Graph Neural Networks (GNNs) have become an essential tool for analyzing graph-structured data, leveraging their ability to capture complex relational information. While the expressivity of GNNs, particularly their equivalence to the Weisfeiler-Leman
Externí odkaz:
http://arxiv.org/abs/2410.07829
Quantum computing has emerged as a promising tool for transforming the landscape of computing technology. Recent efforts have applied quantum techniques to classical database challenges, such as query optimization, data integration, index selection,
Externí odkaz:
http://arxiv.org/abs/2409.14111
Autor:
Gonzalez-Casal, Sergio, Jouclas, Rémy, Arbouch, Imane, Geerts, Yves, van Dyck, Colin, Cornil, Jérôme, Vuillaume, Dominique
Publikováno v:
J. Phys. Chem. Lett. 15, 11593-11600 (2024)
We report a combined experimental (C-AFM and SThM) and theoretical (DFT) study of the thermoelectric properties of molecular junctions made of self-assembled monolayers on Au of thiolated benzothieno-benzothiophene (BTBT) and alkylated BTBT derivativ
Externí odkaz:
http://arxiv.org/abs/2409.12596
The Weisfeiler-Leman algorithm ($1$-WL) is a well-studied heuristic for the graph isomorphism problem. Recently, the algorithm has played a prominent role in understanding the expressive power of message-passing graph neural networks (MPNNs) and bein
Externí odkaz:
http://arxiv.org/abs/2402.07568
Autor:
Cucumides, Tamara, Daza, Daniel, Barceló, Pablo, Cochez, Michael, Geerts, Floris, Reutter, Juan L, Romero, Miguel
The challenge of answering graph queries over incomplete knowledge graphs is gaining significant attention in the machine learning community. Neuro-symbolic models have emerged as a promising approach, combining good performance with high interpretab
Externí odkaz:
http://arxiv.org/abs/2310.04598
Autor:
J. Yang, J. Li, M. Chen, X. Jing, Y. Yin, B. Geerts, Z. Wang, Y. Liu, B. Chen, S. Hua, H. Hu, X. Dong, P. Tian, Q. Chen, Y. Gao
Publikováno v:
Atmospheric Chemistry and Physics, Vol 24, Pp 13833-13848 (2024)
Detecting an unambiguous radar reflectivity signature is vital for investigating cloud-seeding impacts. The radar reflectivity change attributed to seeding depends on both the cloud conditions and the concentration of silver iodide (AgI) particles. I
Externí odkaz:
https://doaj.org/article/ba48257c73e14643a92aab7d350bafab
Autor:
Guy R. Oldrieve, Frank Venter, Mathieu Cayla, Mylène Verney, Laurent Hébert, Manon Geerts, Nick Van Reet, Keith R. Matthews
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract African trypanosomes are important parasites in sub-Saharan Africa that undergo a quorum-sensing dependent development to morphologically ‘stumpy forms’ in mammalian hosts to favour transmission by tsetse flies. However, some trypanosome
Externí odkaz:
https://doaj.org/article/477c7f2791c44bd481dc2cf06b0c3555
Autor:
Vincent C. Kurucz, Jimmy Schenk, Denise P. Veelo, Bart F. Geerts, Alexander P. J. Vlaar, Björn J. P. Van Der Ster
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The relationship between weather and acute coronary syndrome (ACS) incidence has been the subject of considerable research, with varying conclusions. Harnessing machine learning techniques, our study explores the relationship between meteoro
Externí odkaz:
https://doaj.org/article/618a28baea9044df8033dd92b76dac90