This book gives an overview of research on graphs associated with commutative rings. The study of the connections between algebraic structures and certain graphs, especially finite groups and their Cayley graphs, is a classical subject which has a...Daugiau...
This proceedings volume compiles selected, revised papers presented at the 54th Southeastern International Conference on Combinatorics, Graph Theory, and Computing (SEICCGTC 2023), which took place at Florida Atlantic University in Boca Raton, USA...Daugiau...
Enhance your data science skills with this updated edition featuring new chapters on LLMs, temporal graphs, and updated examples with modern frameworks, including PyTorch Geometric, and DGL Key Features Master new graph ML tech...Daugiau...
Engaging classroom projects promote active learning in high schools and universities with nine hands-on labs solving real-world challenges. Covering topics from origami and mapping to bridge design and search algorithms, each module blends practical...Daugiau...
The book covers all the basics of both the topics. The topics are sequenced in such a manner that there is a flow in understanding the advances. The first and second chapters cover all the basic methods and tools for counting. Chapter 3 is on bino...Daugiau...
Pethuru Raj, Pushan Kumar Dutta, Peter Han Joo Chong, Houbing Herbert Song, Dmitry A. Zaitsev
(Išleidimo metai: 28-May-2025, Paperback / softback, Leidėjas: Morgan Kaufmann Publishers In, ISBN-13: 9780443296543)
Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Use Cases delineates how graph data science significantly empowers the application of data science. The book discusses the emerging para...Daugiau...
A hands-on guide to powerful graph-based deep learning models! Learn how to build cutting-edge graph neural networks for recommendation engines, molecular modeling, and more.Graph Neural Networks in Action teaches you to create...Daugiau...
This book focuses on the computational aspects of graph convexity, with a particular emphasis on path convexity within graphs. It provides a thoughtful introduction to this emerging research field, which originated by adapting concepts from convex...Daugiau...
Cut the Gordian Knot of the Social Media Data chaos with the power of Graph Databases. Learn how to combine and migrate data from multiple sources to Neo4j. With social media producing such huge amounts of data, the importance of g...Daugiau...
This book, Advanced Tools and Methods for Treewidth-Based Problem Solving, contains selected results from the authors PhD studies, which were carried out from 2015 to 2021. For his PhD thesis, Markus Hecher received the EurAI Dissertation Award 2021...Daugiau...
This book introduces foundational topics such as group theory, fields, linear algebra, matrix theory, and graph theory, providing readers with the essential background needed to understand Feynman diagrams and their integral representations. T...Daugiau...
This book, intended for PhD students and researchers, revisits the theory of rewriting and presentations of algebraic structures, through the unified approach provided by polygraphs, and put it in the context of homotopical algebra. It introduces the...Daugiau...
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...Daugiau...
This volume contains the proceedings of the International Conference on Geometry, Groups and Mathematical Philosophy, held in honor of Ravindra S. Kulkarnis 80th birthday. Talks at the conference touched all the areas that intrigued Ravi Kulkarni o...Daugiau...
The concept of completely regular code was introduced by Delsarte in his celebrated 1973 thesis which created the field of Algebraic Combinatorics. This notion was extended by several authors from classical codes over finite fields to codes in dista...Daugiau...
This comprehensive guide addresses key challenges at the intersection of data science, graph learning, and privacy preservation. It begins with foundational graph theory, covering essential definitions, concepts, and various types of gr...Daugiau...
This comprehensive guide addresses key challenges at the intersection of data science, graph learning, and privacy preservation. It begins with foundational graph theory, covering essential definitions, concepts, and various types of graphs. The boo...Daugiau...
This book presents advanced AI approaches and their practical applications in traffic and energy systems, expanding the limits of existing research and practice. It showcases the potential of neural networks and graph models to greatly improve the e...Daugiau...
Analysis and Probability on graphs is an introduction to random graphs, Markov chains on digraphs, entropy of Markov Chains, and discrete Lyapunov exponents and Hausdorff dimension, requiring only minimal background in probability, mathema...Daugiau...
