Sentiment Analysis (SA) holds considerable significance in comprehending public
perspectives and conducting precise opinion-based evaluations, making it a prominent …

Abstract The Social Internet of Things (SIoT) paradigm combines the Internet of Things (IoT)
with social networking principles, enabling autonomous device interactions. However, the …

Recent research has been actively conducted on fault diagnosis in hydrogen extraction
systems using artificial intelligence. However, existing studies have not considered the …

Recommending relevant items to users has become an important task in many systems due
to the increased amount of data produced. For this purpose, transaction datasets such as …

Many real-world problems can be modelled in the form of complex networks. Social
networks such as research collaboration networks and facebook, biological neural networks …

The absence of utility data, particularly about topological information, presents a significant
impediment to the efficient management of underground utilities. Previous studies …

Group link prediction is of both theoretical and practical significance since it can be used to
analyze relationships between individuals and groups. However, obeying the homophily …

This study proposes a health recommender system to analyze health risk and disease
prediction by identifying the most responsible disease-causing factors using a hybrid …

Exploring influential spreaders and predicting missing links in complex networks is essential
for understanding and effectively controlling network dynamics. This paper presents a Graph …

Link prediction is a crucial task in graph machine learning with diverse applications. We
explore the interplay between node attributes and graph topology and demonstrate that …