most citedConnecting Latent ReLationships over Heterogeneous Attributed Network for Recommendation

1 citations · 1 across the 1 of their papers we have counts for

collaborators

5 papers

q-bio.QM2021

Classifying herbal medicine origins by temporal and spectral data mining of electronic nose

Li Liu, Xianghao Zhan, Ziheng Duan +6

The origins of herbal medicines are important for their treatment effect, which could be potentially distinguished by electronic nose system. As the odor fingerprint of herbal medi…

cs.SI20211 cited

Connecting Latent ReLationships over Heterogeneous Attributed Network for Recommendation

Ziheng Duan, Yueyang Wang, Weihao Ye +3

Recently, deep neural network models for graph-structured data have been demonstrating to be influential in recommendation systems. Graph Neural Network (GNN), which can generate h…

cs.LG2020

Multivariate Time Series Classification with Hierarchical Variational Graph Pooling

Ziheng Duan, Haoyan Xu, Yueyang Wang +5

With the advancement of sensing technology, multivariate time series classification (MTSC) has recently received considerable attention. Existing deep learning-based MTSC technique…

cs.LG2020

Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting

Yifu Zhou, Ziheng Duan, Haoyan Xu +4

Multivariate time series forecasting is widely used in various fields. Reasonable prediction results can assist people in planning and decision-making, generate benefits and avoid…

cs.LG2020

Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation

Haoyan Xu, Ziheng Duan, Jie Feng +4

Graph similarity computation aims to predict a similarity score between one pair of graphs to facilitate downstream applications, such as finding the most similar chemical compound…