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The VLDB Journal

Issue 2/2022

Special Issue: Big Graph Data Management and Processing

Content (9 Articles)

Editorial

Special issue on big graph data management and processing

Angela Bonifati, Hannes Voigt

Special Issue Paper

Towards efficient solutions of bitruss decomposition for large-scale bipartite graphs

Kai Wang, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang

Special Issue Paper

Anchored coreness: efficient reinforcement of social networks

Qingyuan Linghu, Fan Zhang, Xuemin Lin, Wenjie Zhang, Ying Zhang

Special Issue Paper

PrefixFPM: a parallel framework for general-purpose mining of frequent and closed patterns

Da Yan, Wenwen Qu, Guimu Guo, Xiaoling Wang, Yang Zhou

Special Issue Paper

G-thinker: a general distributed framework for finding qualified subgraphs in a big graph with load balancing

Da Yan, Guimu Guo, Jalal Khalil, M. Tamer Özsu, Wei-Shinn Ku, John C. S. Lui

Open Access Special Issue Paper

RDFFrames: knowledge graph access for machine learning tools

Aisha Mohamed, Ghadeer Abuoda, Abdurrahman Ghanem, Zoi Kaoudi, Ashraf Aboulnaga

Open Access Special Issue Paper

A design space for RDF data representations

Tomer Sagi, Matteo Lissandrini, Torben Bach Pedersen, Katja Hose

Open Access Special Issue Paper

Distributed temporal graph analytics with GRADOOP

Christopher Rost, Kevin Gomez, Matthias Täschner, Philip Fritzsche, Lucas Schons, Lukas Christ, Timo Adameit, Martin Junghanns, Erhard Rahm

Special Issue Paper

A fractional memory-efficient approach for online continuous-time influence maximization

Glenn S. Bevilacqua, Laks V. S. Lakshmanan

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