Efficient Graph Representations.

Efficient Graph Representations.
Author :
Publisher : American Mathematical Soc.
Total Pages : 342
Release :
ISBN-10 : 9780821871775
ISBN-13 : 0821871773
Rating : 4/5 (773 Downloads)

Book Synopsis Efficient Graph Representations. by : Jeremy P. Spinrad

Download or read book Efficient Graph Representations. written by Jeremy P. Spinrad and published by American Mathematical Soc.. This book was released on 2003-01-01 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Efficient Graph Representations. Related Books

Efficient Graph Representations.
Language: en
Pages: 342
Authors: Jeremy P. Spinrad
Categories: Mathematics
Type: BOOK - Published: 2003-01-01 - Publisher: American Mathematical Soc.

GET EBOOK

Graph Representation Learning
Language: en
Pages: 141
Authors: William L. William L. Hamilton
Categories: Computers
Type: BOOK - Published: 2022-06-01 - Publisher: Springer Nature

GET EBOOK

Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational induct
Efficient Graph Representations
Language: en
Pages: 342
Authors: Jeremy P. Spinrad
Categories: Mathematics
Type: BOOK - Published: 2003-01-01 - Publisher: American Mathematical Soc.

GET EBOOK

The book deals with questions which arise from storing a graph in a computer. Different classes of graphs admit different forms of computer representations, and
Semi-Supervised Learning
Language: en
Pages: 525
Authors: Olivier Chapelle
Categories: Computers
Type: BOOK - Published: 2010-01-22 - Publisher: MIT Press

GET EBOOK

A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems: state-of-the-art algorithms, a taxon
Graph Algorithms in the Language of Linear Algebra
Language: en
Pages: 388
Authors: Jeremy Kepner
Categories: Mathematics
Type: BOOK - Published: 2011-01-01 - Publisher: SIAM

GET EBOOK

The current exponential growth in graph data has forced a shift to parallel computing for executing graph algorithms. Implementing parallel graph algorithms and