Zobrazeno 1 - 10
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pro vyhledávání: '"A. Bechler"'
In spite of the plethora of success stories with graph neural networks (GNNs) on modelling graph-structured data, they are notoriously vulnerable to over-squashing, whereby tasks necessitate the mixing of information between distance pairs of nodes.
Externí odkaz:
http://arxiv.org/abs/2410.03424
For decades, Simultaneous Ascending Auction (SAA) has been the most widely used mechanism for spectrum auctions, and it has recently gained popularity for allocating 5G licenses in many countries. Despite its relatively simple rules, SAA introduces a
Externí odkaz:
http://arxiv.org/abs/2407.11715
Graph Neural Networks (GNNs) have emerged as the predominant approach for learning over graph-structured data. However, most GNNs operate as black-box models and require post-hoc explanations, which may not suffice in high-stakes scenarios where tran
Externí odkaz:
http://arxiv.org/abs/2406.01317
Dynamical Sauter-Schwinger mechanism of electron-positron pair creation by a time-dependent electric field pulses is considered using the $S$-matrix approach and reduction formulas. They lead to the development of framework based on the solutions of
Externí odkaz:
http://arxiv.org/abs/2403.15206
Predictions over graphs play a crucial role in various domains, including social networks and medicine. Graph Neural Networks (GNNs) have emerged as the dominant approach for learning on graph data. Although a graph-structure is provided as input to
Externí odkaz:
http://arxiv.org/abs/2309.04332
For decades, Simultaneous Ascending Auction (SAA) has been the most popular mechanism used for spectrum auctions. It has recently been employed by many countries for the allocation of 5G licences. Although SAA presents relatively simple rules, it ind
Externí odkaz:
http://arxiv.org/abs/2307.11428
Publikováno v:
Acta Phys. Pol. A 143, S18 (2023)
Vortex pattern formation in electron-positron pair creation from vacuum by a time-dependent electric field of linear polarization is analyzed. It is demonstrated that in such scenario the momentum distributions of created particles exhibit vortex-ant
Externí odkaz:
http://arxiv.org/abs/2306.07668
Autor:
Bechler, N. T., Masell, J.
Publikováno v:
Neuromorph. Comput. Eng. 3, 034003 (2023)
Magnetic textures are promising candidates for unconventional computing due to their non-linear dynamics. We propose to investigate the rich variety of seemingly trivial lamellar magnetic phases, e.g., helical, spiral, stripy phase, or other one-dime
Externí odkaz:
http://arxiv.org/abs/2303.11688
Publikováno v:
International Journal of Operations & Production Management, 2023, Vol. 44, Issue 3, pp. 565-590.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJOPM-11-2022-0694
When dealing with tabular data, models based on decision trees are a popular choice due to their high accuracy on these data types, their ease of application, and explainability properties. However, when it comes to graph-structured data, it is not c
Externí odkaz:
http://arxiv.org/abs/2207.02760