The rise of deep neural networks provides an important driver in optimiz...
Dynamic graphs with ordered sequences of events between nodes are preval...
In this paper we develop a novel recommendation model that explicitly
in...
Distributed training is useful to train complicated models to shorten th...
The widespread application of deep learning has changed the landscape of...
With the advent of deep learning, neural network-based recommendation mo...
Low-dimensional embedding, manifold learning, clustering, classification...
Most machine learning algorithms, such as classification or regression, ...