INTERNATIONAL STANDARD BOOK NUMBER
Qualification
(electronic bk.)
Qualification
(electronic bk.)
(Number (ISBN
9789811626098
(Number (ISBN
981162609X
Erroneous ISBN
9789811626081
Erroneous ISBN
9811626081
INTERNATIONAL STANDARD MUSIC NUMBER
(Number (ISMN
10.1007/978-981-16-2609-8
NATIONAL BIBLIOGRAPHY NUMBER
Number
15142
OTHER SYSTEM CONTROL NUMBERS
System Control Number
(OCoLC)1260401314
Cancelled or Invalid Control Number
(OCoLC)1261365932
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Graph data mining :
Other Title Information
algorithm, security and application /
First Statement of Responsibility
Qi Xuan, Zhongyuan Ruan, Yong Min, editors.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Singapore :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
[2021]
Date of Publication, Distribution, etc.
�2021.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
243p.
Other Physical Details
illustrations (some color)
SERIES
Series Title
Big data management.
NOTES PERTAINING TO BINDING AND AVAILABILITY
Text of Note
Available to OhioLINK libraries.
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references.
CONTENTS NOTE
Text of Note
Chapter 1. Information Source Estimation with Multi-Channel Graph Neural Network -- Chapter 2. Link Prediction based on Hyper-Substructure Network -- Chapter 3. Broad Learning Based on Subgraph Networks for Graph Classification -- Chapter 4. Subgraph Augmentation with Application to Graph Mining -- 5. Adversarial Attacks on Graphs: How to Hide Your Structural Information -- Chapter 6. Adversarial Defenses on Graphs: Towards Increasing the Robustness of Algorithms -- Chapter 7. Understanding Ethereum Transactions via Network Approach -- Chapter 8. Find Your Meal Pal: A Case Study on Yelp Network -- Chapter 9. Graph convolutional recurrent neural networks: a deep learning framework for traffic prediction -- Chapter 10. Time Series Classification based on Complex Network -- Chapter 11. Exploring the Controlled Experiment by Social Bots.
0
SUMMARY OR ABSTRACT
Text of Note
Graph data is powerful, thanks to its ability to model arbitrary relationship between objects and is encountered in a range of real-world applications in fields such as bioinformatics, traffic network, scientific collaboration, world wide web and social networks. Graph data mining is used to discover useful information and knowledge from graph data. The complications of nodes, links and the semi-structure form present challenges in terms of the computation tasks, e.g., node classification, link prediction, and graph classification. In this context, various advanced techniques, including graph embedding and graph neural networks, have recently been proposed to improve the performance of graph data mining. This book provides a state-of-the-art review of graph data mining methods. It addresses a current hot topic--the security of graph data mining-- and proposes a series of detection methods to identify adversarial samples in graph data. In addition, it introduces readers to graph augmentation and subgraph networks to further enhance the models, i.e., improve their accuracy and robustness. Lastly, the book describes the applications of these advanced techniques in various scenarios, such as traffic networks, social and technical networks, and blockchains.
OTHER EDITION IN ANOTHER MEDIUM
International Standard Book Number
9789811626081
Bibliographic Record Identifier
(OCoLC)1246352444.
TOPICAL NAME USED AS SUBJECT
Entry Element
Data mining.
Entry Element
Graph theory
Topical Subdivision
Data processing.
(SUBJECT CATEGORY (Provisional
Subject Category Subdivision Code
UNF
Subject Category Subdivision Code
COM021030
Subject Category Subdivision Code
UNF
Subject Category Subdivision Code
UYQE
System Code
bicssc
System Code
bisacsh
System Code
thema
System Code
thema
DEWEY DECIMAL CLASSIFICATION
Number
006
.
3/12
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
QA76
.
9
Book number
.
D343G73
2021
PERSONAL NAME - SECONDARY RESPONSIBILITY
Entry Element
Xuan, Qi,
Entry Element
Ruan, Zhongyuan,
Entry Element
Min, Yong,
CORPORATE BODY NAME - SECONDARY RESPONSIBILITY
Entry Element
Ohio Library and Information Network.
ORIGINATING SOURCE
Agency
کتابخانه مرکزی و مرکز اطلاع رسانی دانشگاه
Date of Transaction
20231009071036.0
Cataloguing Rules (Descriptive Conventions))
rda
ELECTRONIC LOCATION AND ACCESS
Date and Hour of Consultation and Access
Graph Data Mining(2021)[Xuan Ruan][9789811626098] (2021).pdf
Uniform Resource Identifier
https://rave.ohiolink.edu/ebooks/ebc2/9789811626098
Uniform Resource Identifier
https://link.springer.com/10.1007/978-981-16-2609-8
Uniform Resource Identifier
http://proxy.ohiolink.edu:9099/login?url=https://link.springer.com/10.1007/978-981-16-2609-8
Public note
Connect to resource
Public note
Connect to resource
Public note
Connect to resource (off-campus)
BL
270410
Y
