NeurstrucEnergy:A bi-directional GNN model for energy prediction of neural networks in IoT

A significant demand rises for energy-efficient deep neural networks to support power-limited embedding devices with successful deep learning applications in IoT and edge computing fields.An accurate energy prediction approach is critical to provide measurement and lead optimization direction.However,the current energy prediction approaches lack accuracy and generalization ability due to the lack of research on the neural network structure and the excessive reliance on customized training dataset.This paper presents a novel energy prediction model,NeurstrucEnergy.NeurstrucEnergy treats neural networks as directed graphs and applies a bi-directional graph neural network training on a randomly generated dataset to extract structural features for energy prediction.NeurstrucEnergy has advantages over linear approaches because the bi-directional graph neural network collects structural features from each layer's parents and children.Experimental results show that NeurstrucEnergy establishes state-of-the-art results with mean absolute percentage error of 2.60%.We also evaluate NeurstrucEnergy in a randomly generated dataset,achieving the mean absolute percentage error of 4.83%over 10 typical convolutional neural networks in recent years and 7 efficient convolutional neural networks created by neural architecture search.Our code is available at https://github.com/NEUSoftGreenAI/NeurstrucEnergy.git.

Synthesis and antiviral activities of a novel class of thioflavone and flavonoid analogues

A novel class of thioflavone and flavonoid derivatives has been prepared and their antiviral activities against enterovirus 71(EV71)and the coxsackievirus B3(CVB3)and B6(CVB6)were evaluated.Compounds 7d and 9b showed potent antiviral activities against EV71 with ICso values of 8.27 and 5.48μM,respectively.Compound 7f,which has been synthesized for the first time in this work,showed the highest level of inhibitory activity against both CVB3 and CVB6 with an ICso value of 0.62 and 0.87μM.Compounds 4b,7a,9c and 9e also showed strong inhibitory activities against both the CVB3 and CV B6 at low concentrations(IC_(50)=1.42-7.15μM),whereas compounds 4d,7c,7e and 7g showed strong activity against CVB6(IC_(50)=2.91-3.77μM)together with low levels of activity against CVB3.Compound 7d exhibited stronger inhibitory activity against CVB3(IC_(50)=6.44μM)thaln CVB6(IC_(50)>8.29μM).The thioflavone derivatives 7a,7c,7d,7e,7f and 7g,represent a new class of lead compounds for the development of novel antiviral agents.