Complex networks are frequently employed to model physical or virtual complex systems.
When certain entities exist across multiple systems simultaneously, unveiling their …

Network alignment (NA) is the task of discovering node correspondences across different
networks. Although NA methods have achieved remarkable success in a myriad of …

Networks are crucial in structuring biological systems in terms of interactions, to investigate
the related properties and dynamics. Network analysis plays a relevant role in knowledge …

Network alignment (NA), discovering anchor nodes that represent the same entities across
different networks, plays a fundamental role in information fusion. Most existing embedding …

Network alignment, which aims at finding the node correspondences between networks, is
the cornerstone of multi-network applications. Existing efforts on network alignment suffer …

Network alignment is an important technique with applications in diverse domains, such as
social network analysis, bioinformatics, and knowledge graph construction. Many of the …

With the prevalence of social media platforms, accurately identifying the same users across
different networks through network alignment has become crucial. Existing methods often …

Object detection has long been a topic of high interest in computer vision literature.
Motivated by the fact that annotating data for the multi-object tracking (MOT) problem is …

Network alignment (NA) is the task of discovering node correspondences across multiple
networks. Although NA methods have achieved remarkable success in a myriad of …

The network alignment task aims to identify the correspondence of the same nodes across
networks, which plays a crucial role in many fields. However, most existing methods focus …