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.

翻译：图结构中的链接预测任务已获得广泛研究，并应用于知识图谱补全、内容/物品推荐、社交网络推荐等多个领域。早期研究主要聚焦于静态图的链接预测，但近年来针对时序图的建模工作大量涌现，时序图中的链接预测也成为研究热点之一。然而，现有研究大多关注链接是否存在性预测，而非链接形成的顺序。本研究旨在预测节点交互的先后顺序。