Section: Overall Objectives
Magnet is a research group that aims to design new machine learning based methods geared towards mining information networks. Information networks are large collections of interconnected data and documents like citation networks and blog networks among others. Our goal is to propose new prediction methods for texts and networks of texts based on machine learning algorithms in graphs. Such algorithms include node and link classification, link prediction, clustering and probabilistic modeling of graphs. We aim to tackle real-world problems such as browsing, monitoring and recommender systems, and more broadly information extraction in information networks. Application domains cover natural language processing, social networks for cultural data and e-commerce, and biomedical informatics.