Convolutional neural networks (CNNs) have received widespread attention due to their
powerful modeling capabilities and have been successfully applied in natural language …

Deep learning (DL)-based intelligent fault diagnosis methods have greatly promoted the
development of the field of fault diagnosis due to their powerful feature extraction ability for …

As recommender systems shift from rating-based to interaction-based models, graph neural
network-based collaborative filtering models are gaining popularity due to their powerful …

Recommender systems are popular tools used in many applications, such as e-commerce, e-
learning, and social networks to help users select their desired items. Collaborative filtering …

Aspect based sentiment analysis (ABSA) aims to identify aspect terms in online reviews and
predict their corresponding sentiment polarity. Sentiment analysis poses a challenging fine …

Although there is a long line of research on bidirectional image–text matching, the problem
remains a challenge due to the well-known semantic gap between visual and textual …

E-learning is a popular area in terms of learning from social media websites in various terms
and contents for every group of people in this world with different knowledge backgrounds …

Graph neural networks (GNNs), with their promising potential to learn effective graph
representation, have been widely used for recommender systems, in which the given graph …

Session-based recommendation (SBR) is one of the hot research areas in recent years.
Various SBR models have been proposed, of which graph neural network (GNN)-based …

In recent years, Dynamic Graph (DG) representations have been increasingly used for
modeling dynamic systems due to their ability to integrate both topological and temporal …