Dynamic Network Representation Based on Latent Factorization of Tensors【電子書籍】[ Hao Wu ]

＜p＞A dynamic network is frequently encountered in various real industrial applications, such as the Internet of Things. It is composed of numerous nodes and large-scale dynamic real-time interactions among them, where each node indicates a specified entity, each directed link indicates a real-time interaction, and the strength of an interaction can be quantified as the weight of a link. As the involved nodes increase drastically, it becomes impossible to observe their full interactions at each time slot, making a resultant dynamic network High Dimensional and Incomplete (HDI). An HDI dynamic network with directed and weighted links, despite its HDI nature, contains rich knowledge regarding involved nodes’ various behavior patterns. Therefore, it is essential to study how to build efficient and effective representation learning models for acquiring useful knowledge.＜/p＞ ＜p＞In this book, we first model a dynamic network into an HDI tensor and present the basic latent factorization of ten．．．楽天市場のショップで商品詳細の続きを見る