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View all- Duan JKang ZTian LXin Y(2025)Multi-level social network alignment via adversarial learning and graphlet modelingNeural Networks10.1016/j.neunet.2025.107230185(107230)Online publication date: May-2025
Nodes with similar network structure and attribute features probably distribute across different networks. For instance, people tend to have accounts across various social networks. In recent years, network alignment to identify potential ...
Advances in high-throughput technology has led to an increased amount of available data on protein-protein interaction (PPI) data. Detecting and extracting functional modules that are common across multiple networks is an important step towards ...
Network alignment, which aims to find the node correspondence across multiple networks, is a fundamental task in many areas, ranging from social network analysis to adversarial activity detection. The state-of-the-art in the data mining community often ...
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