David Mottin, Associate Professor at the Department of Computer Science at Aarhus University, Aarhus, Denmark.
He is an Associate Professor at the Department of Computer Science at Aarhus University. With a research focus on graph exploration, Dr. David Mottin delves into the expansive fields of databases, data mining, and machine learning. Their work is particularly centered on the interactive analysis and understanding of both labeled and unlabeled graphs. Dr. David Mottin is passionate about comprehending phenomena and user behaviors in a systematic and principled manner, contributing significantly to advancements in these areas.
From Networks to Knowledge: Graphs in the Age of Machine Learning
Graphs represent an intuitive and powerful way to organize the data. Yet, with the predominant discourse towards natural language models, there is a current delusion that graphs might have lost their appeal. In this talk, I will argue that this delusion is probably an illusion and that graphs in any shape, from semantically rich property graphs to simple networks, offer a convenient model for understanding and disentangle the complexities of machine learning models. I will introduce the current endeavour towards more reliable, interpretable, and fast approaches to navigate knowledge, so as to empower language models with robust and dependable answers.
