Results 241 to 250 of about 8,738,264 (288)

Participatory system dynamics in implementation science practice: a scoping review of methods, contexts and outcomes. [PDF]

BMJ Open Qual
Caton L, Zimmerman L, Kahkoska A, Goldstein BA, Sperber N.   +4 more
europepmc   +1 more source

Spatio-temporal epidemic forecasting with graph-based transformer. [PDF]

Int J Health Geogr
Ezzat M, Malek YM, AbdelKader T, Badr N.
europepmc   +1 more source

Large-scale multimodal pre-trained model driven ceramic design knowledge graph construction and cross-domain innovative design reasoning mechanism. [PDF]

Sci Rep
Zang G.
europepmc   +1 more source

Bridging data and discovery: a survey on knowledge graphs in AI for science. [PDF]

Natl Sci Rev
Ding K, Zhu Z, Tang Y, Feng K, Zhuang X, Wang H, Yang Y, Du H, Ni Z, Wang S, Fan X, Xing H, Bai L, Liu Q, Wang H, Zhang Q, Chen H.   +16 more
europepmc   +1 more source

Eliminating Temporal Conflicts in Uncertain Temporal Knowledge Graphs

Lecture Notes in Computer Science, 2018
In the real world, a majority of facts are not static or immutable but highly ephemeral. Each fact is valid for only a limited amount of time, or it stands in temporal dependencies. In addition, facts with time information are usually accompanied by a real-valued weight which witnesses the possibility of a fact.
Pengpeng Zhao, Junhua Fang, Jiajie Xu
exaly   +4 more sources

Relational learning on temporal knowledge graphs [PDF]

, 2022
Over the last decade, there has been an increasing interest in relational machine learning (RML), which studies methods for the statistical analysis of relational or graph-structured data. Relational data arise naturally in many real-world applications, including social networks, recommender systems, and computational finance.
Han, Zhen
core   +4 more sources

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Representing temporal knowledge in conceptual graphs

Knowledge-Based Systems, 1991
This study was motivated by some difficulties encountered by the authors when trying to express temporal knowledge using Sowa's conceptual graph (CG) approach. An overview of Sowa's approach is given and the difficulties encountered when trying to model temporal knowledge are outlined: the disparity of notations allowed by CG theory for expressing ...
Bernard Moulin, Daniel Côté
openaire   +1 more source

Learning Dynamic Embeddings for Temporal Knowledge Graphs

Proceedings of the 14th ACM International Conference on Web Search and Data Mining, 2021
Representation learning for temporal knowledge graphs has attracted increasing attention in recent years. In this paper, we study the problem of learning dynamic embeddings for temporal knowledge graphs. We address this problem by proposing a Dynamic Bayesian Knowledge Graphs Embedding model (DBKGE), which is able to dynamically track the semantic ...
Siyuan Liao, Shangsong Liang, Zaiqiao Meng, Qiang Zhang 0026   +3 more
openaire   +1 more source

Temporal knowledge graphs forecasting based on explainable temporal relation tree-graph

Neural Networks
In real-world temporal knowledge graphs, relationships among entities often exhibit complex temporal dynamics. Effectively modeling multi-hop temporal relation chains and enabling interpretable reasoning remain core challenges in temporal knowledge graph forecasting, which we address with our proposed model, TRTL (Temporal Relation Tree-based Learning).
Qihong Wu, Ruizhe Ma, Yuan Cheng, Li Yan 0001, Zong Min Ma 0001   +4 more
openaire   +3 more sources

Survey on Temporal Knowledge Graph

2021 IEEE Sixth International Conference on Data Science in Cyberspace (DSC), 2021
Chong Mo, Ye Wang 0015, Yan Jia 0001, Qing Liao 0001   +3 more
openaire   +1 more source