Identifying Innovation Frontiers Based on Prediction of Citation Network Links Between Papers and Patents

Li Yongjie, Zhu Jian, Wang Longchao, Tang Xiaoli

2025

Abstract

This paper proposes a novel method for identifying innovation frontiers based on link prediction in a heterogeneous citation network integrating academic papers and technological patents. By constructing a unified citation graph and applying the Graph Sample and Aggregate model, we perform node embedding learning and link prediction to uncover potential knowledge flow pathways. Combining graph embedding with clustering analysis, we identify frontier knowledge clusters characterized by high interdisciplinarity, novelty, and knowledge mobility. Preliminary experiments demonstrate that the proposed method outperforms existing graph neural network models in both link prediction and clustering tasks, effectively revealing emerging innovation frontiers at the intersection of scientific and technological knowledge.

Paper Citation

in Harvard Style

Yongjie L., Jian Z., Longchao W. and Xiaoli T. (2025). Identifying Innovation Frontiers Based on Prediction of Citation Network Links Between Papers and Patents. In Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR; ISBN , SciTePress, pages 398-405. DOI: 10.5220/0013745700004000

in Bibtex Style

@conference{kdir25,
author={Li Yongjie and Zhu Jian and Wang Longchao and Tang Xiaoli},
title={Identifying Innovation Frontiers Based on Prediction of Citation Network Links Between Papers and Patents},
booktitle={Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR},
year={2025},
pages={398-405},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013745700004000},
isbn={},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR
TI - Identifying Innovation Frontiers Based on Prediction of Citation Network Links Between Papers and Patents
SN -
AU - Yongjie L.
AU - Jian Z.
AU - Longchao W.
AU - Xiaoli T.
PY - 2025
SP - 398
EP - 405
DO - 10.5220/0013745700004000
PB - SciTePress