Managing and Mining Large Graphs: Patterns and Algorithms
Summary: Patterns in real-world static, weighted, and dynamic graphs; approaches to scale to graphs with billions of nodes and edges. Reviews of tools for large-graph mining (SVD, Hadoop) and a practical blueprint for designing and implementing scalable graph-mining algorithms on Hadoop. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Christos Faloutsos
- 2. U Kang
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