Titlebook: Web and Big Data. APWeb-WAIM 2020 International Workshops; KGMA 2020, SemiBDMA Qun Chen,Jianxin Li Conference proceedings 2021 Springer Na

Diuretic

1865-0929 l Joint Conference on Web and Big Data, APWeb-WAIM 2020: The Third International Workshop on Knowledge Graph Management and Applications, KGMA 2020; The Second International Workshop on Semi-structured Big Data Management and Applications, SemiBDMA 2020, and The First International Workshop on Deep

NOCT

CANE

Label Propagation Algorithm Based on Topological Potential graphs. By using the topological potential of graph nodes as the importance measure of nodes, the stability of LPA is improved. Finally, the algorithm was tested using real network data sets and LFR benchmark network data sets. The results show that the algorithm has better accuracy and stability than some classic label propagation algorithms.

BET

jealousy

来就得意

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手段

Method for Re-finding Mobile Phone Documents Based on Feature Knowledge Graphname of it, but can remember some objects in it, such as the figures, tables or formulas in the documents, the source of the documents, or related topics.  And the existing mobile phone document management software cannot associate the content of the document with itself. Therefore, how to extract d

永久

Method for Re-finding Mobile Phone Documents Based on Feature Knowledge Graphname of it, but can remember some objects in it, such as the figures, tables or formulas in the documents, the source of the documents, or related topics.  And the existing mobile phone document management software cannot associate the content of the document with itself. Therefore, how to extract d

Odyssey

Knowledge Graph Embedding with Relation Constrainttor spaces is proven to be effective in many applications. Schema-based KG also has rich prior information about entities and relations, such as entity constraints for relations which define the semantic role of relations. In this paper, we propose TransRC (Translation model with Relation Constraint