Design efficient and flexible databases by optimizing the power of Neo4j.
If you are a developer who wants to understand the fundamentals of modeling data in Neo4j and how it can be used to model full-fledged applications, then this book is for you. Some understanding of domain modeling may be advantageous but is not essential.
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…
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…
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 is a textbook on graph theory, especially suitable for computer scientists but also suitable for mathematicians with an interest in computational complexity. Although it introduces most of the classical concepts of pure and applied graph theory (spanning trees, connectivit…
"This is a textbook on graph theory, especially suitable for computer scientists but also suitable for mathematicians with an interest in computational complexity. Although it introduces most of the classical concepts of pure and applied graph theory (spanning trees, connectivit…
A work-efficient parallel breadth-first search algorithm (or how to cope with the nondeterminism of reducers) / Charles E. Leiserson and Tao B. Schardl -- Multi-objective shortest paths / Stephan Erb, Moritz Kobitzsch, Lawrence Mandow, and Peter Sanders -- Multicore algorithms f…
"Expertise in massive scale graph analytics is key for solving real-world grand challenges from health to sustainability to detecting insider threats, cyber defense, and more. Massive Graph Analytics provides a comprehensive introduction to massive graph analytics, featuring con…
Expertise in massive scale graph analytics is key for solving real-world grand challenges from health to sustainability to detecting insider threats, cyber defense, and more. Massive Graph Analytics provides a comprehensive introduction to massive graph analytics, featuring cont…
La 4ème de couverture indique : "Une base de données optimisée pour le big data. Parmi les bases de données NoSQL, celles orientées "graphes" connaissent un succès fulgurant du fait de leur souplesse et de leur évolutivité extrême. Ne reposant sur aucun schéma, un graphe peut ac…