„Graph Database“
Suchergebnisse
1.119 Treffer
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WARM with automated weight fitment model for targeted application in unweighted databases
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Fusion of single-domain contrastive embedding and cross-domain graph collaborative filtering network for recommendation systems
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Graph representation learning for security analytics in decentralized software systems and social networks
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Efficient algorithms for reachability and path queries on temporal bipartite graphs
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Towards efficient simulation-based constrained temporal graph pattern matching
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Reasoning subevent relation over heterogeneous event graph
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Unsupervised graph reasoning distillation hashing for multimodal hamming space search with vision-language model
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Computational tools and databases at the forefront to study geographic and genomic distribution of SARS-CoV-2 variants
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Human–machine partnerships at the exascale: exploring simulation ensembles through image databases
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Cardinality estimation for property graph queries with gated learning approach on the graph database
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International Conference on Applied Technologies – 5th International Conference on Applied Technologies, ICAT 2023, Samborondon, Ecuador, November 22–24, 2023, Revised Selected Papers, Part III
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International Conference on Applied Technologies – 5th International Conference on Applied Technologies, ICAT 2023, Samborondon, Ecuador, November 22–24, 2023, Revised Selected Papers, Part I
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Optimal Index Selection Using Optimized Deep Q-Learning Algorithm for NoSQL Database
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BotCL: a social bot detection model based on graph contrastive learning
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Ingress: an automated incremental graph processing system
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CHEKG: a collaborative and hybrid methodology for engineering modular and fair domain-specific knowledge graphs
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An academic recommender system on large citation data based on clustering, graph modeling and deep learning
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Protecting the privacy of social network data using graph correction
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Enhancing academic performance prediction with temporal graph networks for massive open online courses
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Deep graph clustering via mutual information maximization and mixture model