Zobrazeno 1 - 10
of 16 205
pro vyhledávání: '"Geerts A"'
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:
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
Autor:
Giannini, Samuele, Di Virgilio, Lucia, Bardini, Marco, Hausch, Julian, Geuchies, Jaco, Zheng, Wenhao, Volpi, Martina, Elsner, Jan, Broch, Katharina, Geerts, Yves H., Schreiber, Frank, Schweicher, Guillaume, Wang, Hai I., Blumberger, Jochen, Bonn, Mischa, Beljonne, David
There is compelling evidence that charge carriers in organic semiconductors (OSs) self-localize in nano-scale space because of dynamic disorder. Yet, some OSs, in particular recently emerged high-mobility organic molecular crystals, feature reduced m
Externí odkaz:
http://arxiv.org/abs/2303.13163
Autor:
Linda Kollenburg, H. Arnts, M. Heitkamp, S. Geerts, C. Robinson, M. Dominguez, W. Mulleners, E. Kurt
Publikováno v:
The Journal of Headache and Pain, Vol 25, Iss 1, Pp 1-8 (2024)
Abstract Background Cluster headache (CH) is a significant health concern due to its major socioeconomic consequences and most patients being refractory to conventional strategies. For treatment resistant CH, occipital nerve stimulation (ONS) is cons
Externí odkaz:
https://doaj.org/article/eae3c10edb1b40738f745ee9f441edec
Recently, many works studied the expressive power of graph neural networks (GNNs) by linking it to the $1$-dimensional Weisfeiler--Leman algorithm ($1\text{-}\mathsf{WL}$). Here, the $1\text{-}\mathsf{WL}$ is a well-studied heuristic for the graph is
Externí odkaz:
http://arxiv.org/abs/2301.11039