A new approach for traffic matrix estimation in high load computer networks based on graph embedding and convolutional neural network

M Emami, R Akbari, R Javidan… - Transactions on …, 2019 - Wiley Online Library
In computer networks, transmitted traffic between origin‐destination nodes has been
considered a crucial factor in traffic engineering applications. To date, measuring the traffic …

Automatic extraction of leaf venation complex networks

M Rapacz, R Łazarz - ECAI 2020, 2020 - ebooks.iospress.nl
Venation network analysis stands as a promising direction of scientific research, providing
new insights into the origins and influence of plant phenotypic traits. However, its …

Relation order histograms as a network embedding tool

R Łazarz, M Idzik - Computational Science–ICCS 2021: 21st International …, 2021 - Springer
In this work, we introduce a novel graph embedding technique called NERO (Network
Embedding based on Relation Order histograms). Its performance is assessed using a …

[PDF][PDF] Semantic analysis of multidimensional graph descriptors with applications for structural data mining

R Łazarz - 2022 - researchgate.net
Because of their overall versatility, complex networks remain the most widely adopted
approach to structure representation—and the recent breakthroughs in graph-based pattern …

[PDF][PDF] Relation order histograms as a network embedding tool

R law Lazarz, M l Idzik - iccs-meeting.org
In this work, we introduce a novel graph embedding technique called NERO (Network
Embedding based on Relation Order histograms). Its performance is assessed using a …

[PDF][PDF] Challenges in 3-D simulation of vascular graph remodelling

R Łazarz - researchgate.net
The state of vertebrates cardiovascular system has crucial impact on their development and
functioning. Numerous diseases are known to be hallmarked by defects or abnormal …