Learning Interactive Knowledge Graph for Trajectory Prediction

被引：0
|
作者：
Zhu, Chen [1 ]
Bai, Jie [1 ]
Fang, Jianwu [1 ]
Xue, Jianru [2 ]
Li, Xu [1 ]
Yu, Hongkai [3 ]
机构：
[1] Chang’an University, Xi’an,710064, China
[2] Xi’an Jiaotong University, Xi’an,710049, China
[3] Cleveland State University, Cleveland,OH,44115, United States
来源：
Lecture Notes in Electrical Engineering | 2022年 / 861 LNEE卷
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Knowledge graph
引用
收藏
页码：1269 / 1279
相关论文
共 50 条
  • [21] Reliable knowledge graph fact prediction via reinforcement learning
    Zhou, Fangfang
    Mi, Jiapeng
    Zhang, Beiwen
    Shi, Jingcheng
    Zhang, Ran
    Chen, Xiaohui
    Zhao, Ying
    Zhang, Jian
    VISUAL COMPUTING FOR INDUSTRY BIOMEDICINE AND ART, 2023, 6 (01)
  • [22] KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding
    Chen, Zhen
    Zhang, Dalin
    Feng, Shanshan
    Chen, Kaixuan
    Chen, Lisi
    Han, Peng
    Shang, Shuo
    THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 8, 2024, : 8311 - 8319
  • [23] A Knowledge Graph-based Interactive Recommender System Using Reinforcement Learning
    Sun, Ruoxi
    Yan, Jun
    Ren, Fenghui
    2022 TENTH INTERNATIONAL CONFERENCE ON ADVANCED CLOUD AND BIG DATA, CBD, 2022, : 73 - 78
  • [24] Graph-based interactive knowledge distillation for social relation continual learning
    Tang, Wang
    Qing, Linbo
    Wang, Pingyu
    Li, Lindong
    Peng, Yonghong
    NEUROCOMPUTING, 2025, 634
  • [25] Knowledge Graph-Enhanced Hierarchical Reinforcement Learning for Interactive and Explainable Recommendation
    Zhang, Mingwei
    Li, Yage
    Li, Shuping
    Wang, Yinchu
    Yan, Jing
    IEEE ACCESS, 2024, 12 : 137345 - 137359
  • [26] Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning
    Zhou, Sijin
    Dai, Xinyi
    Chen, Haokun
    Zhang, Weinan
    Ren, Kan
    Tang, Ruiming
    He, Xiuqiang
    Yu, Yong
    PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20), 2020, : 179 - 188
  • [27] Interactive Machine Learning of Knowledge Graph-Based Explainable Process Analysis
    Fuessl, Anne
    Nissen, Volker
    Heringklee, Stefan Horst
    ADVANCED INFORMATION SYSTEMS ENGINEERING WORKSHOPS, CAISE 2023 INTERNATIONAL WORKSHOPS, 2023, 482 : 112 - 124
  • [28] Prediction of Equipment Remaining Useful Life Based on Graph Learning and Spatiotemporal Knowledge Graph
    Men, Changhao
    Han, Yu
    Huang, Cheng-Geng
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2025,
  • [29] Psychological factors enhanced heterogeneous learning interactive graph knowledge tracing for understanding the learning process
    Wang, Zhifeng
    Wu, Wanxuan
    Zeng, Chunyan
    Luo, Heng
    Sun, Jianwen
    FRONTIERS IN PSYCHOLOGY, 2024, 15
  • [30] An Interactive System for Knowledge Graph Search
    Baivab, Sinha
    Wang, Xin
    Jiang, Wei
    Ma, Ju
    Zhan, Huayi
    Zhong, Xueyan
    DATABASE SYSTEMS FOR ADVANCED APPLICATIONS (DASFAA 2020), PT III, 2020, 12114 : 760 - 765
12345