4 papers
PKAG-DDI: Pairwise Knowledge-Augmented Language Model for Drug-Drug Interaction Event Text Generation
Ziyan Wang, Zhankun Xiong, Feng Huang +1
Drug-drug interactions (DDIs) arise when multiple drugs are administered concurrently. Accurately predicting the specific mechanisms underlying DDIs (named DDI events or DDIEs) is…
ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-Modal Uniform Alignment
Ziyan Wang, Zhankun Xiong, Feng Huang +2
Drug-drug interactions (DDIs) can result in various pharmacological changes, which can be categorized into different classes known as DDI events (DDIEs). In recent years, previousl…
Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction
Kexin Zhang, Feng Huang, Luotao Liu +4
The recent focus on microbes in human medicine highlights their potential role in the genetic framework of diseases. To decode the complex interactions among genes, microbes, and d…
Coefficient Decomposition for Spectral Graph Convolution
Feng Huang, Wen Zhang
Spectral graph convolutional network (SGCN) is a kind of graph neural networks (GNN) based on graph signal filters, and has shown compelling expressivity for modeling graph-structu…