LINE: Large-scale Information Network Embedding
Embedding information networks into low-dimensional spaces is potentially useful in many applications such as visualization, node classification, link prediction and recommendation. In this project, we proposed a large-scale information network embedding model called the “LINE”,…
Data Science Summer School 2015 – The Ins and Outs of the New York City Subway System
Every day, the population of New York regions shrinks and swells as people travel into and around the city. With six million daily trips, the subway system is one of the main conduits for these…
Persona-ization: Searching on Behalf of Others
The Neural Genesis of a Joke
Unlike passive humor appreciation, the neural correlates of real-time humor creation have been unexplored. As a case study for creativity, humor creation uniquely affords a reliable assessment of a creative product’s quality, subjects’ expertise, and…