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of 470
pro vyhledávání: '"P. Lachi"'
Autor:
Minotti, F. O.
Publikováno v:
Grav. & Cosmol. 23 (2017) 287
The scalar-tensor theory of gravitation proposed by Mbelek and Lachi\`{e}ze-Rey has been shown to lead to a possible explanation of the forces measured in asymmetric resonant microwave cavities. However, in the derivation of the equations from the ac
Externí odkaz:
http://arxiv.org/abs/1701.00454
Akademický článek
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Autor:
Minotti, F. O., Raptis, T. E.
The scalar-tensor theory of gravitation proposed by Mbelek and Lachi\`{e}ze-Rey have been recently shown to lead to some remarkable effects beyond those initially explored by its authors. These new effects include a possible explanation of the forces
Externí odkaz:
http://arxiv.org/abs/1310.5029
Graph neural networks are typically trained on individual datasets, often requiring highly specialized models and extensive hyperparameter tuning. This dataset-specific approach arises because each graph dataset often has unique node features and div
Externí odkaz:
http://arxiv.org/abs/2407.11907
Autor:
Sara Mabel VILLALBA PORTILLO
Publikováno v:
América Latina Hoy, Vol 80, Iss 0, Pp 179-181 (2019)
Externí odkaz:
https://doaj.org/article/64942b6df1a14d64a76df29a01db288d
Autor:
Lachi, Veronica, Dimitri, Giovanna Maria, Di Stefano, Alessandro, Liò, Pietro, Bianchini, Monica, Mocenni, Chiara
Vaccine hesitancy, or the reluctance to be vaccinated, is a phenomenon that has recently become particularly significant, in conjunction with the vaccination campaign against COVID-19. During the lockdown period, necessary to control the spread of th
Externí odkaz:
http://arxiv.org/abs/2306.02838
In Graph Neural Networks (GNNs), hierarchical pooling operators generate local summaries of the data by coarsening the graph structure and the vertex features. While considerable attention has been devoted to analyzing the expressive power of message
Externí odkaz:
http://arxiv.org/abs/2304.01575
Autor:
Longa, Antonio, Lachi, Veronica, Santin, Gabriele, Bianchini, Monica, Lepri, Bruno, Lio, Pietro, Scarselli, Franco, Passerini, Andrea
Graph Neural Networks (GNNs) have become the leading paradigm for learning on (static) graph-structured data. However, many real-world systems are dynamic in nature, since the graph and node/edge attributes change over time. In recent years, GNN-base
Externí odkaz:
http://arxiv.org/abs/2302.01018
Autor:
PARK, LIZZY MUHAMMAD
Publikováno v:
Future Reflections; Winer2022, Vol. 41 Issue 1, p42-47, 6p
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract We propose a compartmental model for investigating smoking dynamics in an Italian region (Tuscany). Calibrating the model on local data from 1993 to 2019, we estimate the probabilities of starting and quitting smoking and the probability of
Externí odkaz:
https://doaj.org/article/e77c488af14c41c4a51b36b08a739b92