Feng Huang

According to our database, Feng Huang authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Coefficient Decomposition for Spectral Graph Convolution.

Feng Huang, Wen Zhang

CoRR, 2024

Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction.

Kexin Zhang, Feng Huang, Luotao Liu, Zhankun Xiong, Hongyu Zhang, Yuan Quan, Wen Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

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, Xuan Liu, Wen Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation.

Yongkang Wang, Xuan Liu, Feng Huang, Zhankun Xiong, Wen Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

HimGNN: a novel hierarchical molecular graph representation learning framework for property prediction.

Shen Han, Haitao Fu, Yuyang Wu, Ganglan Zhao, Zhenyu Song, Feng Huang, Zhongfei Zhang, Shichao Liu, Wen Zhang

Briefings Bioinform., September, 2023

Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Association Prediction.

Luotao Liu, Feng Huang, Xuan Liu, Zhankun Xiong, Menglu Li, Congzhi Song, Wen Zhang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction.

Zhankun Xiong, Shichao Liu, Feng Huang, Ziyan Wang, Xuan Liu, Zhongfei Zhang, Wen Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Multimodal Framework for Improving in Silico Drug Repositioning With the Prior Knowledge From Knowledge Graphs.

Zhankun Xiong, Feng Huang, Ziyan Wang, Shichao Liu, Wen Zhang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Hierarchical graph representation learning for the prediction of drug-target binding affinity.

Zhaoyang Chu, Feng Huang, Haitao Fu, Yuan Quan, Xionghui Zhou, Shichao Liu, Wen Zhang

Inf. Sci., 2022

MVGCN: data integration through multi-view graph convolutional network for predicting links in biomedical bipartite networks.

Haitao Fu, Feng Huang, Xuan Liu, Yang Qiu, Wen Zhang

Bioinform., 2022

A heterogeneous network-based method with attentive meta-path extraction for predicting drug-target interactions.

Hongzhun Wang, Feng Huang, Zhankun Xiong, Wen Zhang

Briefings Bioinform., 2022

GraphCDR: a graph neural network method with contrastive learning for cancer drug response prediction.

Xuan Liu, Congzhi Song, Feng Huang, Haitao Fu, Wenjie Xiao, Wen Zhang

Briefings Bioinform., 2022

2021

A Fast Linear Neighborhood Similarity-Based Network Link Inference Method to Predict MicroRNA-Disease Associations.

Wen Zhang, Zhishuai Li, Wenzheng Guo, Weitai Yang, Feng Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

HampDTI: a heterogeneous graph automatic meta-path learning method for drug-target interaction prediction.

Hongzhun Wang, Feng Huang, Wen Zhang

CoRR, 2021

Predicting drug-disease associations through layer attention graph convolutional network.

Zhouxin Yu, Feng Huang, Xiaohan Zhao, Wenjie Xiao, Wen Zhang

Briefings Bioinform., 2021

Tensor decomposition with relational constraints for predicting multiple types of microRNA-disease associations.

Feng Huang, Xiang Yue, Zhankun Xiong, Zhouxin Yu, Shichao Liu, Wen Zhang

Briefings Bioinform., 2021

CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction.

Chengshuai Zhao, Shuai Liu, Feng Huang, Shichao Liu, Wen Zhang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2019

SFLLN: A sparse feature learning ensemble method with linear neighborhood regularization for predicting drug-drug interactions.

Wen Zhang, Kanghong Jing, Feng Huang, Yanlin Chen, Bolin Li, Jinghao Li, Jing Gong

Inf. Sci., 2019

Predicting microRNA-disease associations from knowledge graph using tensor decomposition with relational constraints.

Feng Huang, Zhankun Xiong, Guan Zhang, Zhouxin Yu, Xinran Xu, Wen Zhang

CoRR, 2019

2018

SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions.

Wen Zhang, Xiang Yue, Guifeng Tang, Wenjian Wu, Feng Huang, Xining Zhang

PLoS Comput. Biol., 2018

Predicting drug-disease associations by using similarity constrained matrix factorization.

Wen Zhang, Xiang Yue, Weiran Lin, Wenjian Wu, Ruoqi Liu, Feng Huang, Feng Liu

BMC Bioinform., 2018

The Bi-Direction Similarity Integration Method for Predicting Microbe-Disease Associations.

Wen Zhang, Weitai Yang, Xiaoting Lu, Feng Huang, Fei Luo

IEEE Access, 2018

Prediction of Drug-Disease Associations and Their Effects by Signed Network-Based Nonnegative Matrix Factorization.

Wen Zhang, Feng Huang, Xiang Yue, Xiaoting Lu, Weitai Yang, Zhishuai Li, Feng Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

HNGRNMF: Heterogeneous Network-based Graph Regularized Nonnegative Matrix Factorization for predicting events of microbe-disease associations.

Wen Zhang, Xiaoting Lu, Weitai Yang, Feng Huang, Binlu Wang, Alan Wang, Qi Zhao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018