Zobrazeno 1 - 10
of 488
pro vyhledávání: '"Chatterjee, Ayan"'
Node embedding algorithms produce low-dimensional latent representations of nodes in a graph. These embeddings are often used for downstream tasks, such as node classification and link prediction. In this paper, we investigate the following two quest
Externí odkaz:
http://arxiv.org/abs/2406.07642
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 4, p e24656 (2021)
BackgroundLifestyle diseases, because of adverse health behavior, are the foremost cause of death worldwide. An eCoach system may encourage individuals to lead a healthy lifestyle with early health risk prediction, personalized recommendation generat
Externí odkaz:
https://doaj.org/article/ce5a4aa353b14b468512d8620d3d2075
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 3, p e23533 (2021)
BackgroundWe systematically reviewed the literature on human coaching to identify different coaching processes as behavioral interventions and methods within those processes. We then reviewed how those identified coaching processes and the used metho
Externí odkaz:
https://doaj.org/article/46ff899241c0495b81d857223959a14b
In this paper we study the shear free spherical symmetric gravitational collapse of charged radiating star. All the physical quantities including pressure, density are regular. Energy conditions are satisfied throughout the interior of the matter con
Externí odkaz:
http://arxiv.org/abs/2312.17078
Autor:
Shafi, Zohair, Miller, Benjamin A., Chatterjee, Ayan, Eliassi-Rad, Tina, Caceres, Rajmonda S.
Recent advances in machine learning (ML) have shown promise in aiding and accelerating classical combinatorial optimization algorithms. ML-based speed ups that aim to learn in an end to end manner (i.e., directly output the solution) tend to trade of
Externí odkaz:
http://arxiv.org/abs/2310.07980
Link prediction is a crucial task in graph machine learning with diverse applications. We explore the interplay between node attributes and graph topology and demonstrate that incorporating pre-trained node attributes improves the generalization powe
Externí odkaz:
http://arxiv.org/abs/2307.08877
Today, machine learning (ML) is widely used in industry to provide the core functionality of production systems. However, it is practically always used in production systems as part of a larger end-to-end software system that is made up of several ot
Externí odkaz:
http://arxiv.org/abs/2211.12706
Interactive programming environments are powerful tools for promoting innovative network thinking, teaching science of complexity, and exploring emergent phenomena. This paper reports on our recent development of the deterministic random walk model i
Externí odkaz:
http://arxiv.org/abs/2211.05189
The process of visually presenting networks is an effective way to understand entity relationships within the networks since it reveals the overall structure and topology of the network. Real networks are extremely difficult to visualize due to their
Externí odkaz:
http://arxiv.org/abs/2209.03149