Recommender systems are efficient tools for filtering online information, which is
widespread owing to the changing habits of computer users, personalization trends, and …

Recommender systems are effective tools of information filtering that are prevalent due to
increasing access to the Internet, personalization trends, and changing habits of computer …

In recent years, Graph Neural Networks (GNNs), which can naturally integrate node
information and topological structure, have been demonstrated to be powerful in learning on …

With the increasing demand of users for personalized social services, social
recommendation (SR) has been an important concern in academia. However, current …

Data in many real-world applications such as social networks, users shop** behaviors,
and inter-item relationships can be represented as graphs. Graph Neural Networks (GNNs) …

With the increasing demand of massive multimodal data storage and organization, cross-
modal retrieval based on hashing technique has drawn much attention nowadays. It takes …

Recommender systems in social networks are widely used for connecting users to their
desired items from a vast catalog of available items. Learning the user's preferences from all …