App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 8

Dynamic graph embedding learning with multi-faceted co-interaction signals for recommendation model

Sun Qian
Xie Qing
Wang Yuhan
Tang Mengzi
Liu Yongjian
School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan HuBei 430070, China
DOI: 10.19734/j.issn.1001-3695.2025.12.0499

Abstract

Continuous user–item interactions in dynamic recommendation rapidly evolve node representations, while coarse-grained aggregation often injects noise and causes representation drift. This work proposed DGEIR, a dynamic graph embedding recommendation model that modulates the fusion of new interactions and historical information with multi-dimensional co-interaction signals. DGEIR performed interaction feature aggregation, time-decayed neighbor aggregation, and symbiotic learning in parallel to capture semantic, structural, and symbiotic dynamics. It then constructed co-interaction signals from these three views to quantify the synergy between recent interactions and historical patterns, and used them as gating factors to guide embedding updates. DGEIR jointly optimized interaction matching and future prediction to enhance temporal consistency. Experiments on three real-world datasets show that DGEIR achieves the best MRR and Recall@10. On Wikipedia, DGEIR improves MRR and Recall@10 by 11.9% and 4.8% over NeuFilter.

Foundation Support

国家自然科学基金资助项目(62572365)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.12.0499
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 8

Publish History

[2026-04-10] Accepted Paper

Cite This Article

孙谦, 解庆, 王玉菡, 等. 基于多维度协同交互信号的动态图嵌入学习推荐模型 [J]. 计算机应用研究, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.12.0499. (Sun Qian, Xie Qing, Wang Yuhan, et al. Dynamic graph embedding learning with multi-faceted co-interaction signals for recommendation model [J]. Application Research of Computers, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.12.0499. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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