Recommender systems have become indispensable in music streaming service...
Molecular relational learning, whose goal is to learn the interaction
be...
The long-tailed problem is a long-standing challenge in Sequential
Recom...
The density of states (DOS) is a spectral property of materials, which
p...
Sequential Recommender Systems (SRSs) aim to predict the next item that ...
Sentence summarization shortens given texts while maintaining core conte...
Routine clinical visits of a patient produce not only image data, but al...
Sequential recommender systems have shown effective suggestions by captu...
Over the past few years, graph representation learning (GRL) has been a
...
Despite the success of Graph Neural Networks (GNNs) on various applicati...
Identifying outlier documents, whose content is different from the major...
Session-based Recommender Systems (SRSs) have been actively developed to...
Recommender systems have achieved great success in modeling user's
prefe...