Results 71 to 80 of about 8,905,265 (199)

Learning Temporal Knowledge Graphs via Time-Sensitive Graph Attention

IEEE Access
Embedding-based graph representation learning methods have shown strong performance on knowledge graphs (KGs), but most are designed for static settings and struggle to model temporal dynamics.
Jinqing Shen, Chengjin Xu, Yingqi Liu, Xuhui Jiang, Jiaming Li, Zhenxin Huang, Jens Lehmann, Xuesong Chen   +7 more
doaj   +1 more source

Penggunaan Teori Knowledge Graph untuk Merangkum Teks Berbahasa Indonesia

, 2010
A terminology may have many descriptions from different interpretation. Various descriptions of the terminology could result on an ambiguity of knowing the meaning of the terminology (interpretation).
Oktantrika, Dewi Wulandari
core  

Disaster Prediction Knowledge Graph Based on Multi-Source Spatio-Temporal Information

, 2022
Natural disasters have frequently occurred and caused great harm. Although the remote sensing technology can effectively provide disaster data, it still needs to consider the relevant information from multiple aspects for disaster analysis. It is hard to
Chen, Jiahui, Li, Weichao, Zhang, Wenyue, Ge, Xingtong, Peng, Ling, Wenyue Zhang, Huang, Zhisheng, Weichao Li, Yi Yang, Zhisheng Huang, Xingtong Ge, Jiahui Chen, Ling Peng, Yang, Yi   +13 more
core   +1 more source

Temporal Knowledge Graph Question Answering: A Survey

CoRR
Knowledge Base Question Answering (KBQA) has been a long-standing field to answer questions based on knowledge bases. Recently, the evolving dynamics of knowledge have attracted a growing interest in Temporal Knowledge Graph Question Answering (TKGQA), an emerging task to answer temporal questions.
Miao Su, Zixuan Li 0001, Zhuo Chen, Long Bai 0002, Xiaolong Jin 0001, Jiafeng Guo   +5 more
openaire   +2 more sources

Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning [PDF]

Temporal Knowledge Graph Reasoning (TKGR) is the process of utilizing temporal information to capture complex relations within a Temporal Knowledge Graph (TKG) to infer new knowledge.
Wang, J, Hu, Y, Liew, AWC, Luo, L, Yin, B, Wei, W, Sun, K, Pan, S   +7 more
core  

Learning temporal rules from knowledge graph streams

, 2019
Knowledge Graphs (KGs) are a prevailing data management approach and have found extensive applications in recent years. While several methods have been proposed for learning schema information for KGs in the form of logical rules, they are not suitable ...
Ghiasnezhad Omran, Pouya, Wang, Z, Wang, K   +2 more
core  

A Multiscale Spatial-Temporal Graph Neural Network With Causal-Augmented Constraints for Industrial Fault Detection

IEEE Access
As the scale and complexity of modern industrial equipment continue to grow, there is an increasing demand for efficient and reliable fault detection technologies.
Jianhua Lyu, Liangzhen Zhu, Baili Zhang
doaj   +1 more source

Narrative Graph: Telling Evolving Stories Based on Event-centric Temporal Knowledge Graph. [PDF]

J Syst Sci Syst Eng, 2023
Yan Z, Tang X.
europepmc   +1 more source

Enhancing Temporal Knowledge Graph for Future Event Prediction with Long-Term Dense Graph

Tsinghua Science and Technology
Temporal knowledge graph (TKG) reasoning has emerged as a pivotal approach in event prediction. An important yet challenging task in TKG reasoning is to predict future events by extrapolating from historical events and their correlations.
Bin Chen, Jin Wu, Xin Liu, Fan Zhou, Guangchun Luo   +4 more
doaj   +1 more source

Unified Evaluation Benchmark for Temporal Knowledge Graph Representation Learning [PDF]

Jisuanji kexue yu tansuo
Temporal knowledge graph representation learning (TKGR-LE) aims to embed dynamic facts and entity relationships into a low-dimensional vector space to capture the semantic evolution along the time dimension.
CHEN Yijing, LI Qian, DU Yuntao, LIU Lei, YAN Zhongmin
doaj   +1 more source