App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 4

Spatiotemporal fusion multi-hop reasoning model for temporal knowledge graphs

Ma Handa
Fei Fan
School of Computer Science and Communication Jiangsu University, Zhenjiang Jiangsu 212013, China
DOI: 10.19734/j.issn.1001-3695.2025.08.0296

Abstract

To address the issues of semantic disconnection caused by separated entity-relation embedding spaces and limited temporal expressiveness in existing temporal knowledge graph multi-hop reasoning models, a Spatiotemporal Fusion Multi-Hop Reasoning model (SF-MR) is proposed. The model incorporates a triple distributor with dual-path residual connections and spatial convolution to capture cross-space semantic dependencies between entities and relations. A spatiotemporal attention mechanism is introduced to jointly model entity temporal evolution and spatial correlations, dynamically fused via a gated network. A hierarchical reinforcement learning framework decouples reasoning into relation-level and entity-level decisions, alleviating action space explosion. Experiments on four benchmark datasets (ICEWS14, ICEWS18, WIKI, YAGO) demonstrate that SF-MR outperforms state-of-the-art baselines across multiple metrics. Specifically, on ICEWS14, SF-MR improves MRR, H@3, and H@10 by 1.10%, 1.53%, and 2.69%, respectively, over the best baseline. Consistent improvements of 0.79% to 1.01% are observed on WIKI and YAGO. Ablation studies confirm the effectiveness of the triple distributor and spatiotemporal attention in enhancing semantic interaction and temporal modeling.

Foundation Support

镇江市重点研发计划项目(GY2023034)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.08.0296
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 4

Publish History

[2025-12-16] Accepted Paper

Cite This Article

马汉达, 费凡. 时空融合的时序知识图谱多跳推理模型 [J]. 计算机应用研究, 2026, 43 (4). (2025-12-19). https://doi.org/10.19734/j.issn.1001-3695.2025.08.0296. (Ma Handa, Fei Fan. Spatiotemporal fusion multi-hop reasoning model for temporal knowledge graphs [J]. Application Research of Computers, 2026, 43 (4). (2025-12-19). https://doi.org/10.19734/j.issn.1001-3695.2025.08.0296. )

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  • 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.

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