Predicting Links and Their Building Time: A Path-Based Approach
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.
Cite
Text
Li et al. "Predicting Links and Their Building Time: A Path-Based Approach." AAAI Conference on Artificial Intelligence, 2016. doi:10.1609/AAAI.V30I1.9939Markdown
[Li et al. "Predicting Links and Their Building Time: A Path-Based Approach." AAAI Conference on Artificial Intelligence, 2016.](https://mlanthology.org/aaai/2016/li2016aaai-predicting/) doi:10.1609/AAAI.V30I1.9939BibTeX
@inproceedings{li2016aaai-predicting,
title = {{Predicting Links and Their Building Time: A Path-Based Approach}},
author = {Li, Manling and Jia, Yantao and Wang, Yuanzhuo and Zhao, Zeya and Cheng, Xueqi},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2016},
pages = {4228-4229},
doi = {10.1609/AAAI.V30I1.9939},
url = {https://mlanthology.org/aaai/2016/li2016aaai-predicting/}
}