  Link prediction in graphs is a task that has been widely investigated. It has
been applied in various domains such as knowledge graph completion,
content/item recommendation, social network recommendations and so on. The
initial focus of most research was on link prediction in static graphs.
However, there has recently been abundant work on modeling temporal graphs, and
consequently one of the tasks that has been researched is link prediction in
temporal graphs. However, most of the existing work does not focus on the order
of link formation, and only predicts the existence of links. In this study, we
aim to predict the order of node interactions.
