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Moreover, relational DBMS are not well-equipped to handle the new multidimensional networks [4, 23, 25].
The community detection in multidimensional networks is still an open issue [31].
The role of the trifluoromethyl moieties and their ability to form F⋯H intra- and inter-complexes bonds leading to multidimensional networks have been also featured.
Except studies focused on organisational learning [21, 22, 23] and employee motivation [23] in a variety of socially connected, both internal and external networks [24], little is known about the ways to develop and manage multidimensional networks of actors when loosely coupled in both formalised and non-formalised interactions [25].
Many of the effector molecules of the silencing processes themselves are also regulated by specific silencing mechanisms, and many of the silencing-related regulatory pathways are interconnected in multidimensional networks [ 6, 7].
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As the two layers of the networks have completely different structures with respect to communities, we ask ourselves the following question: Is the multidimensional network related to the single layers?
In communication part, by perceiving the importance degrees of users and accordingly employing multidimensional network status parameters such as the local centrality and closeness degree, the best cooperative user can be reasonably selected based on the physical and social attributes of users.
We use an RBM to formulate the DTI prediction problem on a multidimensional network.
A network in which links are associated with different meanings is called the multidimensional network (Lü and Zhou, 2011).
In this article, we proposed a first machine-learning approach to predict different types of DTIs on a multidimensional network.
Such a multidimensional network can be directly applied to tackle several of the ontological issues described above.
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CEO of Professional Science Editing for Scientists @ prosciediting.com