Network embedding has become a very promising techniquein analysis of complex networks. It is a method to project nodes of anetwork into a low-dimensional vector space while retaining the structureof the network based on vector similarity. There are many methods ofnetwork embedding developed for traditional single layer networks. Onthe other hand, multilayer networks can provide more information aboutrelationships between nodes. In this paper, we present our random walkbased multilayer network embedding and compare it with single layerand multilayer network embeddings. For this purpose, we used severalclassic datasets usually used in network embedding experiments and alsocollected our own dataset of papers and authors ...
In network analysis, community detection and network embedding are two important topics. Community d...
Network data arises in fields such as neuroimaging, sociology, and medicine, to represent pairwise c...
As real multilayer networks, we consider four networks. The multilayer networks are converted to mul...
Network embedding has become a very promising techniquein analysis of complex networks. It is ...
Multiplex networks are collections of networks with identical nodes but distinct layers of edges. Th...
Networks are a general language for describing complex systems of interacting entities. In the real ...
© 2017 Elsevier Ltd Multilayer network is a structure commonly used to describe and model the comple...
International audienceAbstract Network embedding approaches are gaining momentum to analyse a large ...
International audienceAbstract Network embedding approaches are gaining momentum to analyse a large ...
International audienceAbstract Network embedding approaches are gaining momentum to analyse a large ...
Graph embedding is a transformation of nodes of a graph into a set of vectors. A good embedding shou...
Multiplex networks have been widely used in information diffusion, social networks, transport, and b...
A multilayered graph is a dispensable data representation tool to comprehend and mine the richness a...
The chapter “Multilayer Networks” introduces the topic of interconnected multilayer networks, analyz...
The chapter “Multilayer Networks” introduces the topic of interconnected multilayer networks, analyz...
In network analysis, community detection and network embedding are two important topics. Community d...
Network data arises in fields such as neuroimaging, sociology, and medicine, to represent pairwise c...
As real multilayer networks, we consider four networks. The multilayer networks are converted to mul...
Network embedding has become a very promising techniquein analysis of complex networks. It is ...
Multiplex networks are collections of networks with identical nodes but distinct layers of edges. Th...
Networks are a general language for describing complex systems of interacting entities. In the real ...
© 2017 Elsevier Ltd Multilayer network is a structure commonly used to describe and model the comple...
International audienceAbstract Network embedding approaches are gaining momentum to analyse a large ...
International audienceAbstract Network embedding approaches are gaining momentum to analyse a large ...
International audienceAbstract Network embedding approaches are gaining momentum to analyse a large ...
Graph embedding is a transformation of nodes of a graph into a set of vectors. A good embedding shou...
Multiplex networks have been widely used in information diffusion, social networks, transport, and b...
A multilayered graph is a dispensable data representation tool to comprehend and mine the richness a...
The chapter “Multilayer Networks” introduces the topic of interconnected multilayer networks, analyz...
The chapter “Multilayer Networks” introduces the topic of interconnected multilayer networks, analyz...
In network analysis, community detection and network embedding are two important topics. Community d...
Network data arises in fields such as neuroimaging, sociology, and medicine, to represent pairwise c...
As real multilayer networks, we consider four networks. The multilayer networks are converted to mul...