Abstract: Recommender systems are becoming more and more important in our daily lives. However, traditional recommendation methods are challenged by data sparsity and efficiency, as the numbers of ...

We propose two online node embedding models (StreamWalk and online second order similarity) for temporally evolving networks. Two nodes are required to be mapped close in the vector space whenever ...

A graph neural network approach that calculates the intra-city and inter-city spatial homogeneity of urban road networks (URNs) The spatial homogeneity of URNs measures the similarity of intersection ...