App. Res. of Comp. Accepted Paper
Vol. 44, 2027 No. 1

Multimodal graph recommendation method with clip semantic space and bidirectional cross-modal attention

Cai Donglina
Mei Hongyanb
Wang Xinga
Liaoning University of Technology, a. School of Electronics & Information Engineering, b. School of Software, Jinzhou 121000, Liaoning, China
DOI: 10.19734/j.issn.1001-3695.2026.05.0148

Abstract

Multimodal recommender systems face limitations in semantic alignment, graph structure, and modality fusion. This paper proposed a graph-based multimodal recommendation method named SDA-GCN. The method used CLIP as a unified encoder to obtain aligned visual and textual representations. A trainable modality adaptation module further enhanced these representations for recommendation tasks. The algorithm constructed an adaptive K-nearest neighbor item graph to capture semantic relations and improve graph convolution-based representation learning. A gated bidirectional cross-modal attention fusion module performed two-way interaction between visual and textual features to exploit complementary information effectively. Experimental results on several real-world datasets showed the superiority of SDA-GCN over representative baseline models in Recall@K and NDCG@K. SDA-GCN provides an effective approach for multimodal recommendation.

Foundation Support

国家自然科学基金资助项目(12371363)
辽宁省科技计划联合计划(重点研发计划项目)2025JH2/101800245
辽宁省教育厅高等学校基本科研项目(LJZZ212410154032)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.05.0148
Publish at: Application Research of Computers Accepted Paper, Vol. 44, 2027 No. 1

Publish History

[2026-09-08] Accepted Paper

Cite This Article

蔡东霖, 梅红岩, 王星. 基于CLIP语义空间与双向跨模态注意力的多模态图推荐方法 [J]. 计算机应用研究, 2027, 44 (1). (2026-09-14). https://doi.org/10.19734/j.issn.1001-3695.2026.05.0148. (Cai Donglin, Mei Hongyan, Wang Xing. Multimodal graph recommendation method with clip semantic space and bidirectional cross-modal attention [J]. Application Research of Computers, 2027, 44 (1). (2026-09-14). https://doi.org/10.19734/j.issn.1001-3695.2026.05.0148. )

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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