4 papers · 1 filter
MKDTI: Predicting drug-target interactions via multiple kernel fusion on graph attention network
Yuhuan Zhou, Yulin Wu, Weiwei Yuan +2
Drug-target relationships may now be predicted computationally using bioinformatics data, which is a valuable tool for understanding pharmacological effects, enhancing drug develop…
KnobTree: Intelligent Database Parameter Configuration via Explainable Reinforcement Learning
Jiahan Chen, Shuhan Qi, Yifan Li +4
Databases are fundamental to contemporary information systems, yet traditional rule-based configuration methods struggle to manage the complexity of real-world applications with hu…
Determining the upper bound of code distance of quantum stabilizer codes through Monte Carlo method based on fully decoupled belief propagation
Zhipeng Liang, Zicheng Wang, Zhengzhong Yi +3
Code distance is an important parameter for quantum stabilizer codes (QSCs). Directly precisely computing it is an NP-complete problem. However, the upper bound of code distance ca…
Recursive expansion of Tanner graph: a method to construct stabilizer codes with high coding rate
Zhengzhong Yi, Zhipeng Liang, Zicheng Wang +4
Quantum stabilizer codes face the problem of low coding rate. In this article, following the idea of recursively expanding Tanner graph proposed in our previous work, we try to con…