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Guide to Graph Algorithms
Sequential, Parallel and Distributed
Topics and features
Presents a comprehensive analysis of sequential graph algorithms
Offers a unifying view by examining the same graph problem from each of the three paradigms of sequential, parallel and distributed algorithms
Describes methods for the conversion between sequential, parallel and distributed graph algorithms
Surveys methods for the analysis of large graphs and complex network applications
Includes full implementation details for the problems presented throughout the text
Surveys advanced graph structures used in artificial intelligence with code examples
Reviews graph machine-intelligence methods
