计算机科学 ›› 2023, Vol. 50 ›› Issue (11A): 220900205-6.doi: 10.11896/jsjkx.220900205
陈玉珏1, 胡赫2, 李强3
CHEN Yujue1, HU He2, LI Qiang3
摘要： 为提升知识图谱在羽毛球领域的应用价值,首先对补全模型的研究现状进行了分析,其次结合深度学习技术和注意力机制,基于图卷积神经网络构建子图结构解耦的知识图谱补全模型,最后对模型的改进性能进行评估。结果表明,所提模型在所有子数据集都取得了良好的结果,与最佳基线模型相当;在实验中选择的3个数据集上,两个测试指标都有不同程度的降低,这表明了实体特征解耦的有效性;只需3个或8个基底就足以表达模型中不同关系的特征。本研究得到了改进效果良好的知识图谱补全模型,为知识图谱在羽毛球领域的推广奠定了基础。
中图分类号:
| [1]YAO B,LIANG N.A smart position optimization scheme for badminton doubles based on human-computer interactive training in wireless sensor networks [J].EURASIP Journal on Wireless Communications and Networking,2020,2020(1):1-16. [2]CAO Z,LIAO T,SONG W,et al.Detecting the shuttlecock for a badminton robot:A YOLO based approach [J].Expert Systems with Applications,2021,164:1-11. [3]WANG H,KLÄSER A,SCHMID C,et al.Dense trajectoriesand motion boundary descriptors for action recognition [J].International Journal of Computer Vision,2013,103(1):60-79. [4]SANG S,YANG Z,WANG L,et al.SemaTyP:a knowledge graph based literature mining method for drug discovery[J].BMC Bioinformatics,2018,19(1):1-11. [5]WANG C,MA X,CHEN J,et al.Information extraction andknowledge graph construction from geoscience literature[J].Computers & Geosciences,2018,112(MAR.):112-120. [6]ZHU H,TIAN F,WU K,et al.A multi-constraint learning path recommendation algorithm based on knowledge map[J].Know-ledge-Based Systems,2018,143:102-114. [7]NATTHAWUT K,RYUTARO I.An Automatic KnowledgeGraph Creation Framework from Natural Language Text[J].Ieice Transactions on Information & Systems,2018,101(1):90-98. [8]YU J,ZHANG Y,WU Y,et al.Research on the Practical Application of Visual Knowledge Graph in Technology Service Model and Intelligent Supervision[J].Journal of Physics:Conference Series,2021,1982(1):012040. [9]CAI Z D,TANG J L,YU R J,et al.Situation and Fronts of International Sports Law Research Based on Knowledge Mapping [J].Journal of Beijing Sport University,2016,(6):44-50. [10]WANG S,LEE J,KIM W J,et al.LiDAR Depth CompletionUsing Color-Embedded Information via Knowledge Distillation[C]//IEEE Transactions on Intelligent Transportation Systems.2021. [11]YANG B,YANG M F.Overview of Atlas and Its Application in Risk Management [J].Journal of Chinese Mini-Micro Computer Systems,2021,42(8):9. [12]MEI Y,GE Y,ZHANG Y,et al.Research on Drilling and Completion Design Knowledge Base System based on Knowledge Map[C]//2022 IEEE 2nd International Conference on Electro-nic Technology,Communication and Information.IEEE,2022:493-496. [13]HWANG S,LEE J,KIM W,et al.LiDAR Depth CompletionUsing Color-Embedded Information via Knowledge Distillation[J].IEEE Transactions on Intelligent Transportation Systems,2021,16:221. [14]WANG H,YANG X,SUN Y.Research on relationship error detection and knowledge completion methods of knowledge atlas[J].Computer and digital engineering,2022,50(7):1534-1539. [15]TAN Z,CHEN Z,FENG S,et al.KRACL:Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion[J].arXiv:2208.07622,2022. [16]HOU J,CHOU R,XUE J,et al.Elevator fault prediction based on knowledge map embedding and completion[J].Computer Engineering and Design,2022,43(1):224-230. [17]LATINJAK A T,HATZIGEORGIADIS A.The knowledge map of sport and exercise psychology:An integrative perspective[J].Frontiers in psychology,2021,12:2320. [18]ZHANG D,WANG H,ZHONG W,et al.WGAN knowledgemap completion method integrating soft reward and exit mechanism [J] Journal of Zhengzhou University(Science Edition),2022,54(2):67-73. [19]LOVELACE J,NEWMAN-GRIFFIS D,VASHISHTH,et al.Robust knowledge graph completion with stacked convolutions and a student re-ranking network[J].arXiv:2106.06555,2021. [20]REN Y,JIANG J,NI Q.Research on financial crisis early warning based on graph neural network model --from the perspective of information spillover across the industry [J] Statistical research,2022,39(8):141-160. [21]JIANG W,LUO J.Graph neural network for traffic forecasting:A survey[J].Expert Systems with Applications,2022,28:117921. [22]YANG X,JIN X,TAO J,et al.Text classification based ongraph neural network and dependency parsing [J] Computer science,2022,11:1-13. [23]ASIF N A,SARKER Y,CHAKRABORTTY R K,et al.Graph neural network:A comprehensive review on non-euclidean space[J].IEEE Access,2021,9:60588-60606. [24]WANG D,XIANG C,PAN Y,et al.A deep convolutional neural network for topology optimization with perceptible generalization ability[J].Engineering Optimization,2022,54(6):973-988. [25]SULAIMAN A,OMAR K,NASRUDIM M F.Two streamsdeep neural network for handwriting word recognition[J].Multimedia Tools and Applications,2021,80(4):5473-5494. [26]KIM M,BAEK S.ComDensE:Combined Dense Embedding of Relation-aware and Common Features for Knowledge Graph Completion[J].arXiv:2206.14925,2022. [27]LI Z,DING Y,HUA Z,et al.A knowledge map completionmodel combining the importance of triplets [J].Computer Science,2020,47(11):231-236. [28]CHEN H,WANG W,LI G,et al.The model of knowledgegraph complement for Quaternion relation rotation [J].Compu-ter Science,2021,48(5):225-231. [29]NAWAZ M S,SHOAIB B,ASHRAF M A.Intelligent Cardiovascular Disease Prediction Empowered with Gradient Descent Optimization[J].Heliyon,2021,7(5):e06948. [30]HU Y,GE L.An improved differential privacy parameter setting and data optimization algorithm [J] Computer Engineering and Science,2021,43(10):1758-1765. [31]ESFAHANI A N,MOGHADDAM N B,MALEKI A,et al.The knowledge map of energy security[J].Energy Reports,2021,7:3570-3589. |
|
||
首页