Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, incl...(展开全部)

This standard textbook of modern graph theory, now in its fifth edition, combines the authority of a classic with the engaging freshness of style that is the hallmark of active mathematics. It covers the core material of the subject with concise yet reliably complete proofs, while offering glimpses of more advanced methods in each field by one or two deeper results, again with ...(展开全部)

The fourth edition of this standard textbook of modern graph theory has been carefully revised, updated, and substantially extended. Covering all its major recent developments it can be used both as a reliable textbook for an introductory course and as a graduate text: on each topic it covers all the basic material in full detail, and adds one or two deeper results (again with ...(展开全部)

This book provides a practical foundation for those who want to apply graph databases to real-world business solutions. You'll learn why graph database are useful, where they're applicable, and how to design and implement solutions that use them. With an introduction to the graph database space in general, this book focuses on their practical application, using the Neo4j graph ...(展开全部)

Designed for the non-specialist, this classic text by a world expert is an invaluable reference tool for those interested in a basic understanding of the subject. Exercises, notes and exhaustive references follow each chapter, making it outstanding both as a text and reference for graduate students and researchers in graph theory and its applications. The author approaches the ...(展开全部)

The third edition of this highly successful textbook has been carefully revised and updated, and includes a new chapter on infinite graphs. The book covers all major, recent developments, and can be used both as a reliable textbook for an introductory course and as a graduate text: on each topic it covers all the basic material in full detail, and adds one or two deeper resul...(展开全部)

Shimon Even's Graph Algorithms, published in 1979, was a seminal introductory book on algorithms read by everyone engaged in the field. This thoroughly revised second edition, with a foreword by Richard M. Karp and notes by Andrew V. Goldberg, continues the exceptional presentation from the first edition and explains algorithms in a formal but simple language with a direct and ...(展开全部)

This book provides a practical foundation for those who want to apply graph databases to real-world business solutions. You'll learn why graph database are useful, where they're applicable, and how to design and implement solutions that use them. With an introduction to the graph database space in general, this book focuses on their practical application, using the Neo4j graph ...(展开全部)

The third edition of this highly successful textbook has been carefully revised and updated, and includes a new chapter on infinite graphs. The book covers all major, recent developments, and can be used both as a reliable textbook for an introductory course and as a graduate text: on each topic it covers all the basic material in full detail, and adds one or two deeper resul...(展开全部)

This standard textbook of modern graph theory, now in its fifth edition, combines the authority of a classic with the engaging freshness of style that is the hallmark of active mathematics. It covers the core material of the subject with concise yet reliably complete proofs, while offering glimpses of more advanced methods in each field by one or two deeper results, again with ...(展开全部)