Federated recommendation is a new notion of private distributed recommen...
Adaptive learning rate methods have been successfully applied in many fi...
Matrix Factorization has been very successful in practical recommendatio...
In this paper, we study the fundamental problem of random walk for netwo...
In fashion recommender systems, each product usually consists of multipl...
An effective content recommendation in modern social media platforms sho...
Learning word embeddings has received a significant amount of attention
...
Human activity recognition plays an important role in people's daily lif...
In this paper, we study the problem of using representation learning to
...
Graph is an important data representation which appears in a wide divers...
Graph embedding provides an efficient solution for graph analysis by
con...
Most existing community-related studies focus on detection, which aim to...
Most of the existing graph embedding methods focus on nodes, which aim t...