Aims The future dental and endodontic education must adapt to the current digitalized
healthcare system in a hyper-connected world. The purpose of this scoping review was to …

Knowledge graph reasoning (KGR), aiming to deduce new facts from existing facts based on
mined logic rules underlying knowledge graphs (KGs), has become a fast-growing research …

Reasoning on temporal knowledge graphs (TKGR), aiming to infer missing events along the
timeline, has been widely studied to alleviate incompleteness issues in TKG, which is …

Knowledge graph embedding (KGE) aims at learning powerful representations to benefit
various artificial intelligence applications. Meanwhile, contrastive learning has been widely …

Multi-view clustering (MVC), which effectively fuses information from multiple views for better
performance, has received increasing attention. Most existing MVC methods assume that …

The spatio-temporal wind speed prediction technology provides the key technical support for
the energy management and space allocation of the wind farm. To obtain an accurate spatio …

Smart healthcare systems that make use of abundant health data can improve access to
healthcare services, reduce medical costs and provide consistently high-quality patient care …

Medical dialog systems have the potential to assist e-medicine in improving access to
healthcare services, improving patient treatment quality, and lowering medical expenses. In …

Inferring aliasing and buffer-size information is important to understanding a C program's
memory layout, which is critical to program analysis and security-related tasks. However …

Inductive relation reasoning for knowledge graphs, aiming to infer missing links between
brand-new entities, has drawn increasing attention. The models developed based on Graph …