Circular RNAs (circRNAs) and microRNAs (miRNAs) are key regulators in various biological processes, and identifying their interactions is vital for elucidating disease mechanisms. However, due to the high experimental cost and limited coverage of known circRNA-miRNA interactions (CMIs), there is a pressing need for com...
Mengmeng Wei, Lei Wang, Peng-Wei Hu et al.· Proceedings of the 32nd ACM...· 0 citations
Continual spatio-temporal forecasting supports traffic management and environmental monitoring under evolving dynamics and expanding sensor networks. However, conventional graph-based continual learning methods tie forecasting representations to the current sensor layout, so sensor expansion can alter the representatio...
Le-Wei Xie, Hao-Yu Zhang, Jia-Jun Zhou et al.· 0 citations
ScGraphTrans, a graph neural network framework that integrates functional state pseudo-labels, graph structure learning, and graph domain adaptation to improve both cell type annotation and communication inference, is proposed, offering insights into biomarker discovery and therapeutic strategies.
Yue-Chao Li, Hai-Ru You, Meng-Chao Wei et al.· IEEE transactions on computa...· 0 citations
Experiments on three cross-patient scRNA-seq data sets demonstrate that PathoGraph achieves stable annotation performance across 32 directed reference-to-query transfer tasks, showing competitive and stable performance compared with representative marker-based, correlation-based, and model-based annotation methods.
Yue C. Li, Mengmeng Wei, Xinfei Wang et al.· Journal of Chemical Informat...· 0 citations
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