Zobrazeno 1 - 10
of 16 436
pro vyhledávání: '"Mattos, A. P."'
Link prediction is a fundamental problem in graph data. In its most realistic setting, the problem consists of predicting missing or future links between random pairs of nodes from the set of disconnected pairs. Graph Neural Networks (GNNs) have beco
Externí odkaz:
http://arxiv.org/abs/2412.00261
Resampling from a target measure whose density is unknown is a fundamental problem in mathematical statistics and machine learning. A setting that dominates the machine learning literature consists of learning a map from an easy-to-sample prior, such
Externí odkaz:
http://arxiv.org/abs/2410.07003
We investigate subsets with small sumset in arbitrary abelian groups. For an abelian group $G$ and an $n$-element subset $Y \subseteq G$ we show that if $m \ll s^2/(\log n)^2$, then the number of subsets $A \subseteq Y$ with $|A| = s$ and $|A + A| \l
Externí odkaz:
http://arxiv.org/abs/2407.04492
The concept of folding entropy emerges from Ruelle's studies of entropy production in non-equilibrium statistical mechanics and is a significant notion to understand the complexities of non-invertible dynamical systems. The metric entropy (Kolmogorov
Externí odkaz:
http://arxiv.org/abs/2407.01828
Autor:
Rudie, Jeffrey D., Lin, Hui-Ming, Ball, Robyn L., Jalal, Sabeena, Prevedello, Luciano M., Nicolaou, Savvas, Marinelli, Brett S., Flanders, Adam E., Magudia, Kirti, Shih, George, Davis, Melissa A., Mongan, John, Chang, Peter D., Berger, Ferco H., Hermans, Sebastiaan, Law, Meng, Richards, Tyler, Grunz, Jan-Peter, Kunz, Andreas Steven, Mathur, Shobhit, Galea-Soler, Sandro, Chung, Andrew D., Afat, Saif, Kuo, Chin-Chi, Aweidah, Layal, Campos, Ana Villanueva, Somasundaram, Arjuna, Tijmes, Felipe Antonio Sanchez, Jantarangkoon, Attaporn, Bittencourt, Leonardo Kayat, Brassil, Michael, Hajjami, Ayoub El, Dogan, Hakan, Becircic, Muris, Bharatkumar, Agrahara G., Farina, Eduardo Moreno Júdice de Mattos, Group, Dataset Curator, Group, Dataset Contributor, Group, Dataset Annotator, Colak, Errol
The RSNA Abdominal Traumatic Injury CT (RATIC) dataset is the largest publicly available collection of adult abdominal CT studies annotated for traumatic injuries. This dataset includes 4,274 studies from 23 institutions across 14 countries. The data
Externí odkaz:
http://arxiv.org/abs/2405.19595
For a graph $G$ and a hereditary property $\mathcal{P}$, let $\text{ex}(G,\mathcal{P})$ denote the maximum number of edges of a subgraph of $G$ that belongs to $\mathcal{P}$. We prove that for every non-trivial hereditary property $\mathcal{P}$ such
Externí odkaz:
http://arxiv.org/abs/2405.09486
Autor:
Griffiths, Simon, Mattos, Letícia
We consider the question of how many edge-disjoint near-maximal cliques may be found in the dense Erd\H{o}s-R\'enyi random graph $G(n,p)$. Recently Acan and Kahn showed that the largest such family contains only $O(n^2/(\log{n})^3)$ cliques, with hig
Externí odkaz:
http://arxiv.org/abs/2405.00667
This research examines the nonadiabatic dynamics of cyclobutanone after excitation into the n-3s Rydberg S2 state. It stems from our contribution to the Special Topic of the Journal of Chemical Physics to test the predictive capability of computation
Externí odkaz:
http://arxiv.org/abs/2402.09890
We address a problem which is a generalization of Tur\'an-type problems recently introduced by Imolay, Karl, Nagy and V\'ali. Let $F$ be a fixed graph and let $G$ be the union of $k$ edge-disjoint copies of $F$, namely $G = \mathbin{\dot{\cup}}_{i=1}
Externí odkaz:
http://arxiv.org/abs/2402.05060
Autor:
Busson, Antonio J. G., Rocha, Rafael, Gaio, Rennan, Miceli, Rafael, Pereira, Ivan, Moraes, Daniel de S., Colcher, Sérgio, Veiga, Alvaro, Rizzi, Bruno, Evangelista, Francisco, Santos, Leandro, Marques, Fellipe, Rabaioli, Marcos, Feldberg, Diego, Mattos, Debora, Pasqua, João, Dias, Diogo
This work proposes the Two-headed DragoNet, a Transformer-based model for hierarchical multi-label classification of financial transactions. Our model is based on a stack of Transformers encoder layers that generate contextual embeddings from two sho
Externí odkaz:
http://arxiv.org/abs/2312.07730