Recommender system is one of the most important information services on today's Internet.
Recently, graph neural networks have become the new state-of-the-art approach to …

With the explosive growth of online information, recommender systems play a key role to
alleviate such information overload. Due to the important application value of recommender …

With the rapid development of online social recommendation system, substantial methods
have been proposed. Unlike traditional recommendation system, social recommendation …

Temporal set prediction is becoming increasingly important as many companies employ
recommender systems in their online businesses, eg, personalized purchase prediction of …

Messenger advertisements (ads) give direct and personal user experience yielding high
conversion rates and sales. However, people are skeptical about ads and sometimes …

Recently, the interest of graph representation learning has been rapidly increasing in
recommender systems. However, most existing studies have focused on improving …

Graph representation learning is gaining popularity in a wide range of applications, such as
social networks analysis, computational biology, and recommender systems. However …