Network alignment aims to identify the corresponding nodes belonging to the same entity
across different networks, which is a fundamental task in various applications. Existing …

Network Alignment (NA), which aims to find the nodes that represent the same entity (ie,
anchor nodes) across different networks, is a fundamental problem in many cross-network …

Network alignment (NA) offers a comprehensive way to build associations between different
networks by identifying shared nodes. While the majority of current NA methods rely on the …

Multiple networks emerge in a wealth of high-impact applications. Network alignment, which
aims to find the node correspondence across different networks, plays a fundamental role for …

Network alignment is the task of recognizing similar network nodes across different
networks, which has many applications in various domains. As traditional network alignment …

Network alignment plays an important role in a variety of applications. Many traditional
methods explicitly or implicitly assume the alignment consistency which might suffer from …

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

Network alignment, the problem of identifying similar nodes across networks, is an emerging
research topic due to its ubiquitous applications in many data domains such as social …

Network alignment, which is also known as user identity linkage, is a kind of network
analysis task that predicts overlapping users between two different social networks. This …

Network alignment is the task of identifying topologically and semantically similar nodes
across (two) different networks. It plays an important role in various applications ranging …