macabre
发表于 2025-3-23 10:04:14
Leveraging Pattern Mining Techniques for Efficient Keyword Search on Data Graphsing completeness and we integrate them in a query evaluation algorithm. Our experimental results show that our approach outperforms previous ones by orders of magnitude and displays smooth scalability.
Gleason-score
发表于 2025-3-23 17:26:46
Leveraging Pattern Mining Techniques for Efficient Keyword Search on Data Graphsing completeness and we integrate them in a query evaluation algorithm. Our experimental results show that our approach outperforms previous ones by orders of magnitude and displays smooth scalability.
合适
发表于 2025-3-23 18:25:45
Influence Maximization Based on Community Closeness in Social Networks point-to-point and point-to-community, reflecting the micro-level and meso-level influence. The experimental results on synthetic and three real datasets verify CCIM outperforms the state-of-the-art baselines.
Monotonous
发表于 2025-3-23 23:31:51
Influence Maximization Based on Community Closeness in Social Networks point-to-point and point-to-community, reflecting the micro-level and meso-level influence. The experimental results on synthetic and three real datasets verify CCIM outperforms the state-of-the-art baselines.
事物的方面
发表于 2025-3-24 05:41:34
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恃强凌弱的人
发表于 2025-3-24 08:40:58
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小虫
发表于 2025-3-24 12:41:02
Tourism Analysis on Graphs with Neo4Tourismvior. In this demonstration we discuss how our system (1) integrates data from TripAdvisor in a . graph database, (2) produces circulation graphs, (3) enhances graphs manipulations and deep tourists’ analysis with centrality.
的染料
发表于 2025-3-24 18:17:54
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做作
发表于 2025-3-24 19:44:13
1865-09292019 and on The International Workshop on Web Information Systems in the Era of AI, held in Hong Kong and Macau, China. Due to the problems in Hong Kong, WISE 2019 has been postponed until January 2020..The 7 workshop papers, 5 demo papers and 3 tutorial papers presented were carefully reviewed and
玉米
发表于 2025-3-25 02:30:53
Knowledge Graph Data Management: Models, Methods, and Systemsf large-scale knowledge graphs have been constructed and published, by both academic and industrial communities, such as DBpedia, YAGO, Wikidata, Google Knowledge Graph, Microsoft Satori, Facebook Entity Graph, and others. In fact, a knowledge graph is essentially a large network of entities, their