Graph representation learning aims to effectively encode high-dimensional sparse graph-structured
data into low-dimensional dense vectors, which is a fundamental task that has been …

Astrocytes, which are five-fold more numerous than neurons in the central nervous system (CNS),
are traditionally viewed to provide simple structural and nutritional supports for …

Tendon/ligament-to-bone healing poses a formidable clinical challenge due to the complex
structure, composition, cell population and mechanics of the interface. With rapid advances …

A commercially available CO 2 laser scriber is used to perform the direct-writing ablation of
polymethyl-methacrylate (PMMA) substrates for microfluidic applications. The microfluidic …

Histone methylation plays an important role in eukaryotic transcriptional regulation. A number
of histone methyltransferases (HMTases) with distinct functions have been identified. The …

Metastasis is the leading cause of cancer-related deaths, and greater knowledge of the
metastatic microenvironment is necessary to effectively target this process. Microenvironmental …

This paper studies few-shot molecular property prediction, which is a fundamental problem
in cheminformatics and drug discovery. More recently, graph neural network based model …

With the development of social network platforms, large-scale group decision-making in
social network (LSGDM-SN) has been formed. As decision makers (DMs) come from different …

A deeper understanding of the metastatic process is required for the development of new
therapies that improve patient survival. Metastatic tumor cell growth and survival in distant …

Interleukin-2 (IL-2) regulates lymphocyte function by signaling through heterodimerization of
the IL-2Rβ and γ c receptor subunits. IL-2 is of considerable therapeutic interest, but …