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

Authors

  • Manling Li Institute of Computing Technology, Chinese Academy of Sciences
  • Yantao Jia Institute of Computing Technology, Chinese Academy of Sciences
  • Yuanzhuo Wang Institute of Computing Technology, Chinese Academy of Sciences
  • Zeya Zhao Institute of Computing Technology, Chinese Academy of Sciences
  • Xueqi Cheng Institute of Computing Technology, Chinese Academy of Sciences

DOI:

https://doi.org/10.1609/aaai.v30i1.9939

Keywords:

Temporal Link Prediction, Knowledge Network, Time-Difference-Labeled Path

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.

AAAI 2016 Proceedings Cover

Downloads

Published

2016-03-05

How to Cite

Li, M., Jia, Y., Wang, Y., Zhao, Z., & Cheng, X. (2016). Predicting Links and Their Building Time: A Path-Based Approach. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.9939

Issue

Vol. 30 No. 1 (2016): Thirtieth AAAI Conference on Artificial Intelligence

Section

Student Abstracts and Posters