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Special issue on big graph data management and processing.
- Published in:
- VLDB Journal International Journal on Very Large Data Bases, 2022, v. 31, n. 2, p. 201, doi. 10.1007/s00778-022-00732-6
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A design space for RDF data representations.
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- VLDB Journal International Journal on Very Large Data Bases, 2022, v. 31, n. 2, p. 347, doi. 10.1007/s00778-021-00725-x
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- Article
RDFFrames: knowledge graph access for machine learning tools.
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- VLDB Journal International Journal on Very Large Data Bases, 2022, v. 31, n. 2, p. 321, doi. 10.1007/s00778-021-00690-5
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- Article
G-thinker: a general distributed framework for finding qualified subgraphs in a big graph with load balancing.
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- VLDB Journal International Journal on Very Large Data Bases, 2022, v. 31, n. 2, p. 287, doi. 10.1007/s00778-021-00688-z
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PrefixFPM: a parallel framework for general-purpose mining of frequent and closed patterns.
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- VLDB Journal International Journal on Very Large Data Bases, 2022, v. 31, n. 2, p. 253, doi. 10.1007/s00778-021-00687-0
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- Article
A fractional memory-efficient approach for online continuous-time influence maximization.
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- VLDB Journal International Journal on Very Large Data Bases, 2022, v. 31, n. 2, p. 403, doi. 10.1007/s00778-021-00679-0
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- Article
Anchored coreness: efficient reinforcement of social networks.
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- VLDB Journal International Journal on Very Large Data Bases, 2022, v. 31, n. 2, p. 227, doi. 10.1007/s00778-021-00673-6
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- Article
Distributed temporal graph analytics with GRADOOP.
- Published in:
- VLDB Journal International Journal on Very Large Data Bases, 2022, v. 31, n. 2, p. 375, doi. 10.1007/s00778-021-00667-4
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- Article
Towards efficient solutions of bitruss decomposition for large-scale bipartite graphs.
- Published in:
- VLDB Journal International Journal on Very Large Data Bases, 2022, v. 31, n. 2, p. 203, doi. 10.1007/s00778-021-00658-5
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- Article