Results 91 to 100 of about 8,905,265 (199)

A Convolutional Neural Network With Time-Aware Channel Weighting for Temporal Knowledge Graph Completion

IEEE Access
Temporal Knowledge Graphs (TKGs) extend traditional knowledge graphs by incorporating a temporal dimension into triples, enabling a more precise modeling of dynamic relationships.
Kesheng Zhang, Guige Ouyang, Yongzhong Huang   +2 more
doaj   +1 more source

CRIKEY! ― It's co-ordination in temporal planning [PDF]

, 2004
Temporal planning contains aspects of both planning and scheduling. Many temporal planners assume a loose coupling between these two sub-problems in the form of "blackbox" durative actions, where the state of the world is not known during the action's ...
Halsey, Keith
core  

Spatio-temporal knowledge embedding method considering the lifecycle of geographical entities

International Journal of Applied Earth Observations and Geoinformation
With the emergence of substantial amounts of data featuring spatio-temporal characteristics, research on spatio-temporal knowledge has garnered widespread attention.
Xinke Zhao, Jiangshui Zhang, Yibing Cao, Fei Yang, Zhenkai Yang, Xinhua Fan   +5 more
doaj   +1 more source

Temporal Knowledge Graph Completion Based on Temporal-Aware Encoding and Entity Attention Contrast

International Journal of Computational Intelligence Systems
With the increasing volume of temporal data and the expanding range of application domains, research on temporal knowledge graph completion (TKGC) has become a prominent topic in the fields of artificial intelligence and data science.
Xuanqiu Meng, Mei Chen, Ying Pan
doaj   +1 more source

Towards explainable knowledge tracing through meta-path-free heterogeneous graph learning with large language models

Discover Artificial Intelligence
Knowledge tracing (KT) is fundamental to intelligent tutoring systems because it models student knowledge evolution and predicts future learning performance.
Olaniyan Deborah, Wario Ruth
doaj   +1 more source

From Knowledge Graph to User Interaction: Ontology Engineering and Webapp Development for the Gut–Brain Interplay. [PDF]

openNegli ultimi anni, il rapido sviluppo e la produzione di dati biomedici hanno portato a un incremento esponenziale del volume di informazioni generate quotidianamente.
PIRON, SAMUEL
core  

MADE: Multicurvature Adaptive Embedding for Temporal Knowledge Graph Completion

Temporal knowledge graphs (TKGs) are receiving increased attention due to their time-dependent properties and the evolving nature of knowledge over time.
Wang, J, Gao, J, Liu, T, Yin, B, Wang, B, Gao, W, Pan, S   +6 more
core   +1 more source

Explainable Temporal Knowledge Graph Reasoning via Expressive Logic Rules

Temporal Knowledge Graphs (TKGs) capture dynamic event behaviors with temporal information. However, existing TKG link prediction methods are predominantly embedding-based, lacking interpretability and transparency.
Wang, Z, Wang, K, Feng, Z, Wu, H, Zuo, J, Bao, X, Zhang, X   +6 more
core   +1 more source

Reinforcement Learning-Based Temporal Knowledge Graph Reasoning for Predicting Chronic Gastritis Diagnosis and Treatment: Development and Validation Study. [PDF]

JMIR Med Inform
Qu X, Sun Z, Wang Y, Liu H, Yao L, Li D, Song G, Zhang R, Zhang X.   +8 more
europepmc   +1 more source

A contrastive learning framework with dual gates and noise awareness for temporal knowledge graph reasoning. [PDF]

Sci Rep
Feng S, Chen B, Liu Q, Huang M.
europepmc   +1 more source