Discover how graph databases can help you manage and query highly connected data. With this practical book, you'll learn how …
NY: InfoQ, 2015. — 32 p. Graph databases are getting lot of attention lately. They are used to manage connected …
With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive …
Explore a variety of fascinating concepts relating to the four-color theorem with an accessible introduction to related concepts from basic …
Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications focuses on discrete mathematics and combinatorial algorithms interacting with real world problems in …
This book constitutes the thoroughly refereed post-proceedings of the 7th China-Japan Conference on Discrete Geometry, Combinatorics and Graph Theory, CJCDGCGT …
INTRODUCTION TO GRAPH MODELSGraphs and DigraphsCommon Families of GraphsGraph Modeling ApplicationsWalks and DistancePaths, Cycles, and TreesVertex and Edge Attributes: More …
This definitive treatment written by well-known experts emphasizes graph imbedding while providing thorough coverage of the connections between topological graph …
Graphs are among the most important abstract data types in computer science, and the algorithms that operate on them are …
Practical Graph Analytics with Apache Giraph helps you build data mining and machine learning applications using the Apache Foundation’s Giraph …
