Network Representation Learning: A Survey
With the widespread use of information technologies, information networks are becoming increasingly popular to capture complex relationships across various disciplines, such as ...
With the widespread use of information technologies, information networks are becoming increasingly popular to capture complex relationships across various disciplines, such as ...
Attributed network embedding enables joint representation learning of node links and attributes. Existing attributed network embedding models are designed in continuous Euclidea...
Spatial-temporal graph modeling is an important task to analyze the spatial relations and temporal trends of components in a system. Existing approaches mostly capture the spati...
Modeling multivariate time series has long been a subject that has attracted researchers from a diverse range of fields including economics, finance, and traffic. A basic assump...
h-index: Number of publications with at least h citations each.