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W. Aiello, F. Chung, L. Lu (2000) "A random graph model for massive graphs", STOC/PNAS.
We test the proposed heuristic on real-world massive graphs with millions of edges and vertices.
In this paper, we present a CPU-GPU local search heuristic for solving the MWCP on massive graphs.
Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have designed a device that helps cheap flash storage process massive graphs on a personal computer.
OBDD-based graph algorithms solve graph optimization problems by mainly using functional operations and are a heuristic approach to cope with massive graphs.
Moreover, by combining several devices, they could process massive graphs — up to 4 billion nodes and 128 billion connecting lines — that no other system could handle on the 128-gigabyte server.
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Maximum weighted matchings represent a fundamental kernel in massive graph analysis and occur in a wide range of real-life applications.
Specifically, DLSWCC can obtain 22 new upper bounds of 71 moderate-scale problem instances, 5 new upper bounds of 15 large-scale problem instances, and 56 new upper bounds of 56 massive graph instances.
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The whispers of Facebook's customized hardware range depending on who you talk to, but generally center around operating on the massive graph Facebook possesses around personal data.
Behind the scenes, DeepGraph is creating a massive graph that maps business milestones for other companies like product launches, stock fluctuations and turnover.
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