Results 51 to 60 of about 9,217,308 (160)

Temporal knowledge graph completion based on time embedding and time-frequency decoder

Complex & Intelligent Systems
Temporal knowledge graph (TKG) completion is essential for predicting missing links by modeling the evolution of entities and relations over time, with critical applications in areas like event forecasting and trend analysis.
Siling Feng, Peng Xu, Qian Liu, Housheng Lu, Yujie Zheng, Bolin Chen, Mengxing Huang   +6 more
doaj   +1 more source

Knowledge Graph-Enabled Prediction of the Elderly’s Activity Types at Metro Trip Destinations

Systems
Providing age-friendly metro service substantially enhances the elderly’s mobility and well-being. Despite recent progress in user profiling and mobility prediction, the prediction of the elderly’s metro travel patterns remains limited. To fill this gap,
Jingqi Yang, Yang Zhang, Fei Song, Qifeng Tang, Tao Wang, Xiao Li, Pei Yin, Yi Zhang   +7 more
doaj   +1 more source

IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion

Temporal Knowledge Graphs (TKGs) incorporate a temporal dimension, allowing for a precise capture of the evolution of knowledge and reflecting the dynamic nature of the real world.
Yin, Baocai, Gao, Wen, Wang, Boyue, Cui, Zheng, Pan, Shirui, Wang, Jiapu, Gao, Junbin   +6 more
core   +1 more source

Graph Neural Networks for Knowledge Graph Construction: Research Progress, Agricultural Development Potential, and Future Directions

智慧农业
[Significance]Graph neural networks (GNN) have emerged as a powerful tool in the realm of data analysis, particularly in knowledge graph construction.
YUAN Huan, FAN Beilei, YANG Chenxue, LI Xian   +3 more
doaj   +1 more source

RecKGC: Integrating Recommendation with Knowledge Graph Completion

, 2019
Both recommender systems and knowledge graphs can provide overall and detailed views on datasets, and each of them has been a hot research domain by itself.
Chen, Weitong, Zhong, Mingyang, Ma, Jingwei, Mingyang Zhong, Li, Xue, Xiaofang Zhou, Xue Li, Zhou, Xiaofang, Jingwei Ma, Jiahui Wen, Weitong Chen, Wen, Jiahui   +11 more
core   +2 more sources

Research on the methodology of personalized recommender systems based on multimodal knowledge graphs

Natural Language Processing Journal
The exponential increase in learning materials has occasioned a greater need for personalized learning experiences, yet conventional unimodal recommender systems are not effective in addressing students' diversified demands.In this research, a ...
Shaowu Bao, Jiajia Wang
doaj   +1 more source

Knowledge Graph Representation Space Analysis and Embedding Evaluation on SmartWatt Net Smart Meter Graph Dataset

IEEE Access
In this work, author convert raw, relationally isolated time-series records into actionable structural intelligence by translating the text to multi-relational graphs in an architectural transition.
Alka Malik, Nidhi Malik, Ambarisha Mishra   +2 more
doaj   +1 more source

Exploiting a graphplan framework in temporal planning [PDF]

, 2003
Graphplan (Blum and Furst 1995) has proved a popular and successful basis for a succession of extensions. An extension to handle temporal planning is a natural one to consider, because of the seductively time-like structure of the layers in the plan ...
Maria Fox, Long, D., Fox, M., Derek Long
core   +2 more sources

Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting

, 2023
Recent studies have shifted their focus towards formulating traffic forecasting as a spatio-temporal graph modeling problem. Typically, they constructed a static spatial graph at each time step and then connected each node with itself between adjacent ...
Philip S. Yu, Jin, H, Chuanpan Zheng, Fan, X, Wang, C, Pan, S, Peng, Z, Cheng Wang, Shirui Pan, Zonghan Wu, Haibing Jin, Zheng, C, Wu, Z, Yu, PS, Xiaoliang Fan, Zhaopeng Peng   +15 more
core   +1 more source

Temporal Knowledge Graph Completion Based on Historical Summary Enhancement

Tongxin xuebao
Temporal knowledge graph completion aims to predict future missing entity links based on historical observed facts. To overcome the issues of remote information truncation and redundant noise, a method named Historical Summary Enhancement (HSE) was ...
TIAN Xiaowei, ZHANG Xiaoyan, DU Xiaofeng, LU Tianbo   +3 more
doaj