Predicting Links and Their Building Time: A Path-Based Approach

Manling Li, Yantao Jia, Yuanzhuo Wang, Zeya Zhao, Xueqi Cheng

Abstract: Predicting links and their building time in a knowledge network has been extensively studied in recent years. Most structure-based predictive methods consider structures and the time information of edges separately, which fail to characterize the correlation between them. In this paper, we propose a structure called the Time-Difference-Labeled Path, and a link prediction method (TDLP). Experiments show that TDLP outperforms the state-of-the-art methods.