Recently, graph neural networks have attracted great attention and achieved prominent
performance in various research fields. Most of those algorithms have assumed pairwise …

Despite the advances in machine learning techniques, similarity assessment among
multimedia data remains a challenging task of broad interest in computer science …

Abstract VLAD (Vector of Locally Aggregated Descriptors) has been widely adopted in
image representation. However, the VLAD algorithm seeks for the algebraic sum of the …

Hypergraphs were introduced in 1973 by Berg\'e. This review aims at giving some hints on
the main results that we can find in the literature, both on the mathematical side and on their …

Histopathological Whole Slide Images (WSIs) play a crucial role in cancer diagnosis. It is of
significant importance for pathologists to search for images sharing similar content with the …

Recommendation systems provide personalized service to users and aim at suggesting to
them items that they may prefer. There is an increasing requirement of next-item …

Image classification is a critical topic due to its wide application and several challenges
associated. Despite the huge progress made last decades, there is still a demand for context …

Recently, there has been a surge of interest in utilizing Graph Convolutional Networks
(GCNs) for skeleton-based action recognition, where learning effective representations of …

Graph methods have been widely employed in re-ranking for image retrieval. Although we
can effectively find visually similar images through these methods, the ranking lists given by …

Due to a huge volume of information in many domains, the need for classification methods is
imperious. In spite of many advances, most of the approaches require a large amount of …