Zobrazeno 1 - 10
of 744
pro vyhledávání: '"Lachi, A"'
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:
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
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
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:
Michele Biagioli, Cristina Di Giorgio, Elva Morretta, Rachele Bellini, Carmen Massa, Ginevra Urbani, Martina Bordoni, Silvia Marchianò, Ginevra Lachi, Valentina Sepe, Maria Chiara Monti, Eleonora Distrutti, Angela Zampella, Stefano Fiorucci
Publikováno v:
Pharmacological Research, Vol 208, Iss , Pp 107403- (2024)
Inflammatory bowel diseases (IBD), including Crohn's disease and ulcerative colitis, are chronic disorders characterized by dysregulated immune response and persistent inflammation. Recent studies suggest that bile acid receptors, particularly GPBAR1
Externí odkaz:
https://doaj.org/article/d946a7733055458a933df16c259e76aa
Autor:
Beddar-Wiesing, Silvia, D'Inverno, Giuseppe Alessio, Graziani, Caterina, Lachi, Veronica, Moallemy-Oureh, Alice, Scarselli, Franco, Thomas, Josephine Maria
Graph Neural Networks (GNNs) are a large class of relational models for graph processing. Recent theoretical studies on the expressive power of GNNs have focused on two issues. On the one hand, it has been proven that GNNs are as powerful as the Weis
Externí odkaz:
http://arxiv.org/abs/2210.03990
Autor:
Beatriz de Fátima Soares Garcia, Elisiee Lima Lachi, Lucas Fernando Oliveira Tomáz Ferraresso, João Felipe Besegato, Márcio Grama Hoeppner
Publikováno v:
Revista de Odontopediatria Latinoamericana, Vol 14 (2024)
Direct restoration with monochromatic composite resin is a treatment option for teeth with coronal fracture after dentoalveolar trauma. This restorative material, in principle, is capable of mimicking the color of the dental substrate. This study aim
Externí odkaz:
https://doaj.org/article/05cea8eb92324c51999cba53081b5cb4
Publikováno v:
Journal of Agrometeorology, Vol 26, Iss 2 (2024)
Arunachal Pradesh in one of the largest states in north eastern states of India, having subtropical humid climate influenced by monsoon. An attempt has therefore, been made to understand the climatic conditions of the state and its influence on the r
Externí odkaz:
https://doaj.org/article/b814e785d51e4f8cb65df422a4827507
Autor:
Biagioli, Michele, Di Giorgio, Cristina, Morretta, Elva, Bellini, Rachele, Massa, Carmen, Urbani, Ginevra, Bordoni, Martina, Marchianò, Silvia, Lachi, Ginevra, Sepe, Valentina, Monti, Maria Chiara, Distrutti, Eleonora, Zampella, Angela, Fiorucci, Stefano
Publikováno v:
In Pharmacological Research October 2024 208