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Aleksandar Ivanovski, Milos Jovanovik, Riste Stojanov and Dimitar Trajanov
In this work, we present a state-of-the-art solution for automatic playlist continuation through a knowledge graph-based recommender system. By integrating representational learning with graph neural networks and fusing multiple data streams, the system ...
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P.A Golovnyak,K.S. Zaytsev,A.M. Pinchuk
Pág. 94 - 101
Today there is a significant increase in the number of payments made using plastic cards. Banking organizations are forced to analyze huge amounts of data in their work, and therefore software products for processing big data are being put into operation...
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Xiaolin Chen, Qixing Qu, Chengxi Wei and Shudong Chen
The significance of research on public opinion monitoring of social network emergencies is becoming increasingly important. As a platform for users to communicate and share information online, social networks are often the source of public opinion about ...
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Zhihui Du, Oliver Alvarado Rodriguez, Joseph Patchett and David A. Bader
Data from emerging applications, such as cybersecurity and social networking, can be abstracted as graphs whose edges are updated sequentially in the form of a stream. The challenging problem of interactive graph stream analytics is the quick response of...
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Rasoul Shafipour and Gonzalo Mateos
We develop online graph learning algorithms from streaming network data. Our goal is to track the (possibly) time-varying network topology, and affect memory and computational savings by processing the data on-the-fly as they are acquired. The setup enta...
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Martin Breunig, Patrick Erik Bradley, Markus Jahn, Paul Kuper, Nima Mazroob, Norbert Rösch, Mulhim Al-Doori, Emmanuel Stefanakis and Mojgan Jadidi
Without geospatial data management, today?s challenges in big data applications such as earth observation, geographic information system/building information modeling (GIS/BIM) integration, and 3D/4D city planning cannot be solved. Furthermore, geospatia...
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