Predicting whether a user would like a particular item has become significantly important for the success of commercial applications like Netflix, YouTube, Spotify, etc. One of the techniques that has ...

Identifying drug-target interactions (DTIs) plays a key role in drug development. Traditional wet experiments to identify DTIs are expensive and time consuming. Effective computational methods to ...

With the rapid development of various advanced biotechnologies, researchers in related fields have realized that microRNAs (miRNAs) play critical roles in many serious human diseases. However, ...

本研究针对药物组合协同效应预测精度不足的难题，创新性地构建了基于化学键图注意力网络（Bond-aware Graph Attention Network ...

Semi-supervised deep learning for the biomedical graph and advanced manufacturing graph is rapidly becoming an important topic in both academia and industry. Many existing types of research focus on ...

Abstract: Linear formation control is the most simple formation control strategy based on relative states. However, as the number of agents becomes larger, the formation graph becomes more complex and ...

Abstract: Factorization machines (FMs) and their neural network variants (neural FMs) for modeling second-order feature interactions are effective in building modern recommendation systems. However, ...

We extend our previous analysis of gauge and Dirac fields in the presence of a chemical potential. We consider an alternate thermal operator which relates in a simple way the Feynman graphs in QED at ...

Embeddings can be the subgroups of a group, similarly, in graph theory embedding of a graph can be considered as a representation of a graph on a surface, where points of that surface are made up of ...