Graph Neural Networks (GNNs) extend basic Neural Networks (NNs) by using graph structures
based on the relational inductive bias (homophily assumption). While GNNs have been …

Homophily principle, ie, nodes with the same labels are more likely to be connected, has been
believed to be the main reason for the performance superiority of Graph Neural Networks (…

The nucleocytoplasmic large DNA viruses (NCLDVs) comprise a monophyletic group of
viruses that infect animals and diverse unicellular eukaryotes. The NCLDV group includes the …

Graph Neural Networks (GNNs) extend basic Neural Networks (NNs) by using the graph
structures based on the relational inductive bias (homophily assumption). Though GNNs are …

We investigated the bioaccumulation of antibiotics in bile, plasma, liver and muscle tissues of
wild fish from four rivers in the Pearl River Delta region. In total, 12 antibiotics were present …

Recently, neural network based approaches have achieved significant progress for solving
large, complex, graph-structured problems. Nevertheless, the advantages of multi-scale …

Chloride ions (Cl − ), which are omnipresent in reclaimed water, can cause various
problems in water reuse systems, especially during water transmission and at end use sites. …

Quantum technology establishes a foundation for secure communication via quantum key
distribution (QKD). In the last two decades, the rapid development of QKD makes a global …

The aim of this study was to investigate the effects of progestins on the sex differentiation of
zebrafish by measuring the sex ratio and transcriptions of genes related to sex differentiation (…

The efficacy and safety of misoprostol alone for missed abortion varied with different regimens.
To evaluate existing evidence for the medical management of missed abortion using …