Guichard D Combinatorics and Graph Theory 2023 | 67.21 MB
N/A | 159 Pages

Title: Combinatorics and Graph Theory, Second Edition (Undergraduate Texts in Mathematics)
Author: John M. Harris, Jeffry L. Hirst, Michael J. Mossinghoff
Year: N/A

Free Download Topics in Graph Theory (Discrete Mathematics and Its Applications) by Jonathan L Gross, Jay Yellen, Mark Anderson
English | July 18, 2023 | ISBN: 0367507870 | 526 pages | MOBI | 26 Mb
The interplay continues to grow between graph theory and a wide variety of models and applications in mathematics, computer science, operations research, and the natural and social sciences.

Free Download Graph structures for knowledge representation and reasoning: third International Workshop, GKR 2013, Beijing, China, August 3, 2013, revised selected papers By Croitoru, Madalina; Gonzales, Christophe; Rudolph, Sebastian; Woltran, Stefan
2013 | 210 Pages | ISBN: 3319045334 | PDF | 4 MB
This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2013, held in Beijing, China, in August 2013, associated with IJCAI 2013, the 23rd International Joint Conference on Artificial Intelligence. The 12 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers feature current research involved in the development and application of graph-based knowledge representation formalisms and reasoning techniques. They address the following topics: representations of constraint satisfaction problems; formal concept analysis; conceptual graphs; and argumentation frameworks.

Free Download Graph Data Science with Python and Neo4j: Hands-on Projects on Python and Neo4j Integration
for Data Visualization and Analysis Using Graph Data Science ... Enterprise Strategies
English | 2024 | ASIN: B0CXT6H7B8 | 267 Pages | EPUB (True) | 6 MB

Free Download Brooks' Theorem: Graph Coloring and Critical Graphs
English | 2024 | ISBN: 3031500644 | 663 Pages | PDF (True) | 10 MB
Brooks' Theorem (1941) is one of the most famous and fundamental theorems in graph theory - it is mentioned/treated in all general monographs on graph theory. It has sparked research in several directions. This book presents a comprehensive overview of this development and see it in context. It describes results, both early and recent, and explains relations: the various proofs, the many extensions and similar results for other graph parameters. It serves as a valuable reference to a wealth of information, now scattered in journals, proceedings and dissertations. The reader gets easy access to this wealth of information in comprehensive form, including best known proofs of the results described. Each chapter ends in a note section with historical remarks, comments and further results. The book is also suitable for graduate courses in graph theory and includes exercises. The book is intended for readers wanting to dig deeper into graph coloring theory than what is possible in the existing book literature. There is a comprehensive list of references to original sources.

Kottarathil J Graph Theory and Decomposition 2024 | 7.17 MB
N/A | 201 Pages

Title: Graph Theory and Decomposition
Author: Jomon Kottarathil
Year: N/A

Free Download Graph Theory and Decomposition
English | 2024 | ISBN: 1032489235 | 201 Pages | PDF (True) | 7 MB
The book Graph Theory and Decomposition covers major areas of the decomposition of graphs. It is a three-part reference book with nine chapters that is aimed at enthusiasts as well as research scholars. It comprehends historical evolution and basic terminologies, and it deliberates on decompositions into cyclic graphs, such as cycle, digraph, and K4-e decompositions. In addition to determining the pendant number of graphs, it has a discourse on decomposing a graph into acyclic graphs like general tree, path, and star decompositions. It summarises another recently developed decomposition technique, which decomposes the given graph into multiple types of subgraphs. Major conjectures on graph decompositions are elaborately discussed. It alludes to a comprehensive bibliography that includes over 500 monographs and journal articles. It includes more than 500 theorems, around 100 definitions, 56 conjectures, 40 open problems, and an algorithm. The index section facilitates easy access to definitions, major conjectures, and named theorems.

Free Download Graph Algorithms for Data Science
by Tomaz Bratanic
English | 2024 | ISBN: 1617299464 | 352 pages | True/Retail EPUB | 22.25 MB

Free Download Graph Algorithms for Data Science: With Examples in Neo4j
English | 2024 | ISBN: 1617299464 | 467 Pages | EPUB | 23 MB
Graphs are the natural way to understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with practical examples and concrete advice on implementation and deployment.

Eastridge T Graph Data Science with Python and Neo4j Hands-on 2024 | 6.84 MB
N/A | 246 Pages

Title: Graph Data Science with Python and Neo4j: Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data Science for Building Enterprise Strategies
Author: Timothy Eastridge
Year: N/A