Recommender systems (RS) have been increasingly applied to food and health. However,
challenges still remain, including the effective incorporation of heterogeneous information …

Fault diagnosis is essential for ensuring the safety and reliability of aero-engines. Current
performance-based fault diagnosis methods typically establish a mapping between …

In complex assembly industry settings, fault localization involves rapidly and accurately
identifying the source of a fault and obtaining a troubleshooting solution based on fault …

In the crucial arena of neurological care, pre-seizure, and seizure diagnosis stand as
imperative focal points. While existing literature has probed this area, it demands sustained …

Recent progress in Graph Neural Networks (GNNs) has greatly enhanced the ability to
model complex molecular structures for predicting properties. Nevertheless, molecular data …

GNN-based social recommendation aims to use social network information to improve
recommendation performance of traditional user–item interaction network (U–I network) …

Abstract Knowledge graph technology is widely applied in the domain of general knowledge
reasoning with an excellent performance. For fine-grained professional fields, professional …

Abstract Indoor Environmental Quality (IEQ) significantly influences health, cognitive
abilities, and even moods. With the rise of smart homes and the Internet of Things (IoT), the …

In recent years, the surge in social media platform usage has sparked a heightened interest
in applying recommender systems (RSs) within the food industry. Traditionally, the …

In recent years, graph convolutional neural networks (GCNs) have become a popular
research topic due to their outstanding performance in various complex network data mining …