4 citations · 6 across the 2 of their papers we have counts for
4 papers
TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting
Xu Chen, Yuanxing Zhang, Lun Du +4
Traffic flow forecasting is of great significance for improving the efficiency of transportation systems and preventing emergencies. Due to the highly non-linearity and intricate e…
Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network
Mengyuan Chen, Jiang Zhang, Zhang Zhang +4
Network structures in various backgrounds play important roles in social, technological, and biological systems. However, the observable network structures in real cases are often…
DANE: Domain Adaptive Network Embedding
Yizhou Zhang, Guojie Song, Lun Du +2
Recent works reveal that network embedding techniques enable many machine learning models to handle diverse downstream tasks on graph structured data. However, as previous methods…
Tag2Vec: Learning Tag Representations in Tag Networks
Junshan Wang, Zhicong Lu, Guojie Song +3
Network embedding is a method to learn low-dimensional representation vectors for nodes in complex networks. In real networks, nodes may have multiple tags but existing methods ign…