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Layer imbalance-aware multiplex network embedding
Multiplex network embedding is an effective technique to jointly learn the low-dimensional representations of nodes across network layers. However,...
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Multiplex Collaboration Network of the Faculty of Computer Science and Engineering in Skopje
Multiplex collaboration networks facilitate intricate connections among individuals, enabling multidimensional collaborations across various domains...
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Enhancing Network Role Modeling: Introducing Attributed Multiplex Structural Role Embedding for Complex Networks
Numerous studies have focused on defining node roles within networks, producing network embeddings that maintain the structural role proximity of...
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Link Prediction in Multiplex Network Based on Regression and Conditional Probability
Multiplex networks are often used to describe the relationship of different properties between the same group of entities in real complex system, in...
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Overcoming vaccine hesitancy by multiplex social network targeting: an analysis of targeting algorithms and implications
Incorporating social factors into disease prevention and control efforts is an important undertaking of behavioral epidemiology. The interplay...
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SAME: Sampling Attack in Multiplex Network Embedding
Network embedding aims to learn the low-dimensional latent representations of vertices in a network. Although there are a few works that combine...
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Learning Advisor-Advisee Relationship from Multiplex Network Structure
The analysis of the advisor-advisor relationship can provide rich information for understanding the interactions among entities in academic network....
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Exploring Technology Evolution Pathways Based on Link Prediction on Multiplex Network: Illustrated as CRISPR
Exploring technology evolution pathways is essential since one can capture the best opportunity in a particular domain. Researchers attempt to...
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Enhancing multiplex global efficiency
Modeling complex systems that consist of different types of objects leads to multilayer networks, in which vertices are connected by both inter-layer...
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TenGAN: adversarially generating multiplex tensor graphs
In this work, we explore multiplex graph (networks with different types of edges) generation with deep generative models. We discuss some of the...
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Interlayer co-similarity matrices for link prediction in multiplex networks
Given a target layer in a multiplex network, the objective of link prediction is to predict future relationships by utilizing information from all...
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A Multiplex Network Framework Based Recommendation Systems for Technology Intelligence
Network Science has become a flourishing interest in the last decades as we witness the Big Data explosion in many fields including, social science,...
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Identifying influential nodes based on new layer metrics and layer weighting in multiplex networks
Identifying influential nodes in multiplex complex networks have a critical importance to implement in viral marketing and other real-world...
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A graph convolutional fusion model for community detection in multiplex networks
Community detection is to partition a network into several components, each of which contains densely connected nodes with some structural...
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Multiplex Temporal Networks for Rapid Mental Workload Classification
The automated classification of a participant’s mental workload based on electroencephalographic (EEG) data is a challenging problem. Recently,...
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Orientations and matrix function-based centralities in multiplex network analysis of urban public transport
We study urban public transport systems by means of multiplex networks in which stops are represented as nodes and each line is represented by a...
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Representation Learning in Multiplex Graphs: Where and How to Fuse Information?
In recent years, unsupervised and self-supervised graph representation learning has gained popularity in the research community. However, most...
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Multiplex graph matching matched filters
We consider the problem of detecting a noisy induced multiplex template network in a larger multiplex background network. Our approach, which extends...
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An Analysis of Container Transportation Multiplex Networks from the Perspective of Ship** Company
Ship** companies play a crucial role in coordinating container transportation, as their decisions about ship** routes and ports have a direct...
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Multiplex Network Approach for Modeling the Spread of African Swine Fever in Poland
African swine fever (ASF) is a viral infection which causes acute disease in Sus scrofa - domestic pigs and wild boar. Although the virus does not...