Networks (ie, graphs) are often collected from multiple sources and platforms, such as social
networks extracted from multiple online platforms, team-specific collaboration networks …

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 a critical steppingstone behind a variety of multi-network mining tasks.
Most of the existing methods essentially optimize a Frobenius-like distance or ranking-based …

Finding node correspondence across networks, namely multi-network alignment, is an
essential prerequisite for joint learning on multiple networks. Despite great success in …

Recommender systems are powerful tools for information filtering with the ever-growing
amount of online data. Despite its success and wide adoption in various web applications …

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 …

Multi-layered inter-dependent networks have emerged in a wealth of high-impact application
domains. Cross-layer dependency inference, which aims to predict the dependencies …

Network biology, an interdisciplinary field at the intersection of computational and biological
sciences, is critical for deepening understanding of cellular functioning and disease. While …

The primary concern of numerous online social media network (SMN) platforms is how to
provide users with effective and personalized web services. To achieve this goal, SMN …

Network alignment finds node correspondences across multiple networks, where the
alignment accuracy is of crucial importance because of its profound impact on downstream …