In graph mining the concept of dividing the nodes of a network into groups or communities as part of a clustering exercise is also called modularity. How well graph generators preserve modularity?
Sites I follow.
Simple examples on algorithms typically used in graph mining (work in progress).
Deep learning: A brief walk into the foundations underliing neural networks and deep learning.
I had an extraordinary opportunity to participate as a young researcher in this year’s 4th Heidelberg Laureate Forum (Heidelberg, Germany). I came away having talked one-on-one with several Turin Award Winners and one Nobel Laureate Discovering Hidden Structure