Graph theory - Data processing.

Concepts and techniques of graph neural networks by: (Language materials, printed)

Graph Theory, Combinatorics and Algorithms = Interdisciplinary Applications / by: (Language materials, printed)

Graph-theoretic techniques for web content mining by: (Language materials, printed)

Graph-theoretic techniques for web content mining by: (Language materials, printed)

Practical graph analytics with Apache Giraph by: (Language materials, printed)

Large-scale graph processing using Apache Giraph by: (Language materials, printed)

Graph analysis and visualization = discovering business opportunity in linked data / by: (Language materials, printed)

Systems for big graph analytics by: (Language materials, printed)

Graph-theoretic techniques for web content mining by: (Language materials, printed)

Mathematical Modeling and Industrial Mathematics.

Graph algorithms.

Network analysis (Planning)

Internet searching

Computer Communication Networks.

Machine learning.

Neural networks (Computer science)

Data Structures.

Graph theory

Computer Science.

Combinatorial analysis.

Algorithms.

Combinatorics.

Database Management.

Computational Mathematics and Numerical Analysis.

Business

Graph theory.

Information Systems and Communication Service.

Data mining.

Multidimensional scaling.

Mathematics.

Operations Research, Mathematical Programming.

Operations Research/Decision Theory.

Computer Graphics.

Big data.

Discrete Mathematics in Computer Science.

Computational Biology/Bioinformatics.

Computer Science, general.

Big Data/Analytics.