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App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 2

Hypergraph-driven multi-source knowledge fusion for emotional dialogue generation

Zhu Yongmeng1
Zhan Weihua1,2
1. College of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo Zhejiang 315100, China
2. Jiangsu Engineering Laboratory of Cyberspace Security, Suzhou Jiangsu 215006, China
DOI: 10.19734/j.issn.1001-3695.2025.06.0215

Abstract

emotional dialogue generation is a key step in enhancing interactive experience. existing methods show limitations in multi-source knowledge modeling and emotion–strategy guidance, which restrict the capture of high-order dependencies among semantics, emotions, and strategies. to solve this problem, the study proposed a hypergraph-driven multi-source knowledge Fusion model (mifs-hgcn). the model used a relational temporal hypergraph to integrate historical dialogue, emotional states, strategy responses, and dialogue context for dynamic scene modeling and feature aggregation. it then applied a gated-attention mechanism to fuse multi-source knowledge under dual constraints of emotion and strategy, generating empathetic responses with emotional consistency and rational strategy support. experiments on the esconv dataset showed that the model reduced perplexity to 14.25 and achieved significant improvements in bleu-1/2, distinct-1/2, and rouge-l scores compared with kemi and dq-hgan. these results demonstrate that the model improves the accuracy, coherence, and diversity of emotional dialogue generation.

Foundation Support

浙江省自然科学基金资助项目(LGF21F020022)
浙江省教育厅一般科研项目(Y202456677)
浙江大学CAD&CG国家重点实验室开放研究资助项目(A2329)
江苏省网络空间安全工程实验室开放课题(SDGC2132)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.06.0215
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 2

Publish History

[2025-10-27] Accepted Paper

Cite This Article

朱永梦, 詹卫华. 超图驱动的多源知识融合情感对话生成方法 [J]. 计算机应用研究, 2026, 43 (2). (2025-11-04). https://doi.org/10.19734/j.issn.1001-3695.2025.06.0215. (Zhu Yongmeng, Zhan Weihua. Hypergraph-driven multi-source knowledge fusion for emotional dialogue generation [J]. Application Research of Computers, 2026, 43 (2). (2025-11-04). https://doi.org/10.19734/j.issn.1001-3695.2025.06.0215. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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