Deoxyribonucleic acid (DNA), the oldest natural storage medium, offers a highly promising
mode for information computing and storage with its high information density, low …

Abstract Graph Neural Networks (GNNs) serve as a powerful framework for representation
learning on graph-structured data, capturing the information of nodes by recursively …

DNA storage is widely considered as a promising solution to the data explosion problem.
However, the synthesis, PCR and sequencing processes usually result in erroneous reads …

As one main form of multimedia data, images play a critical role in various applications. In
this paper, a representation‐based architecture is proposed which takes advantage of the …

Novel drug-target interaction (DTI) prediction is crucial in drug discovery and repositioning.
Recently, graph neural network (GNN) has shown promising results in identifying DTI by …

The coronavirus pandemic has seriously affected public health and social order. Prediction
methods based on machine learning can identify the infectivity phenotype and pandemic …