The multiscale laplacian graph kernel

R Kondor, H Pan - Advances in neural information …, 2016 - proceedings.neurips.cc
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 …

Deep coevolutionary network: Embedding user and item features for recommendation

H Dai, Y Wang, R Trivedi, L Song - arXiv preprint arXiv:1609.03675, 2016 - arxiv.org
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 …

Recurrent coevolutionary latent feature processes for continuous-time recommendation

H Dai, Y Wang, R Trivedi, L Song - Proceedings of the 1st workshop on …, 2016 - dl.acm.org
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 …