Multivariate Time Series Link Prediction for Evolving Heterogeneous Network
Multivariate Time Series Link Prediction for Evolving Heterogeneous Network is a scholarly work, published in 2019 in ''International Journal of Information Technology & Decision Making''. The main subjects of the publication include complex network, node, cluster analysis, data mining, artificial intelligence, link, similarity, task, theoretical computer science, graph neural network, heterogeneous network, series, lock, machine learning, time series, computer science, and multivariate statistics. The authors have studied the problem of link prediction in the dynamic, undirected, weighted/unweighted, heterogeneous social networks which are composed of multiple types of nodes and links that change over time.