The multiscale laplacian graph kernel
Many real world graphs, such as the graphs of molecules, exhibit structure at multiple
different scales, but most existing kernels between graphs are either purely local or purely …
different scales, but most existing kernels between graphs are either purely local or purely …
Deep coevolutionary network: Embedding user and item features for recommendation
Recommender systems often use latent features to explain the behaviors of users and
capture the properties of items. As users interact with different items over time, user and item …
capture the properties of items. As users interact with different items over time, user and item …
Recurrent coevolutionary latent feature processes for continuous-time recommendation
Matching users to the right items at the right time is a fundamental task in recommender
systems. As users interact with different items over time, users' and items' feature may drift …
systems. As users interact with different items over time, users' and items' feature may drift …