Results 211 to 220 of about 69,930 (266)

Approximate Query on Temporal Knowledge Graphs via Two-Level Embeddings. [PDF]

Entropy (Basel)
Liu J, Duan X, Bai L.
europepmc   +1 more source

Evolving graph attention networks for dynamic link prediction. [PDF]

PLoS One
Jiang Y, Shan R, Fu G, Li Z, Sun J, Bao Z, Wei F.   +6 more
europepmc   +1 more source

Structured knowledge representation of the South China Sea: An LLM-based knowledge graph approach. [PDF]

PLoS One
Zhao R, Han Z, Liu H.
europepmc   +1 more source

Network methods for diagonal integration of unpaired single-cell multiomics data: a review. [PDF]

Bioinformatics
Barylli M, Saha J, Buffart TE, Koster J, Lenos KJ, Vermeulen L, Bumbuc RV, Sheraton VM.   +7 more
europepmc   +1 more source

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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

Relational learning on temporal knowledge graphs

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.
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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
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