Although current graph convolutional network (GCN) has achieved competitive performance
in personalized recommendation systems, most of existing GCN based recommendation …

The expansion of the Internet has resulted in a change in the flow of information. With the
vast amount of digital information generated online, it is easy for users to feel overwhelmed …

In recent years, graph neural networks (GNNs) as a deep learning model have emerged.
Sparse-Dense Matrix Multiplication (SpMM) is the critical component of GNNs. However …

In recent years, mining user multi-behavior information for prediction has become a hot topic
in recommendation systems. Usually, researchers only use graph networks to capture the …

The assortments of global retailers are composed of hundreds of thousands of products
linked by several types of relationships such as style compatibility,“bought …