This book explains the technologies and tools that underpin GNNs, offering a clear and practical guide to their industrial applications and use cases. AI engineers, data scientists, and researchers in AI and graph theory will find detailed insights into the latest trends and innovations driving this dynamic field. With practical chapters demonstrating how GNNs are reshaping various industry verticals—and how they complement advances in generative, agentic, and physical AI—this book is an essential resource for understanding and leveraging their potential.

The neural network paradigm has surged in popularity for its ability to uncover hidden patterns within vast datasets. This transformative technology has spurred global innovations, particularly through the evolution of deep neural networks (DNNs). Convolutional neural networks (CNNs) have revolutionized computer vision, while recurrent neural networks (RNNs) and their advanced variants have automated natural language processing tasks such as speech recognition, translation, and content generation.

Traditional DNNs primarily handle Euclidean data, yet many real-world problems involve non-Euclidean data—complex relationships and interactions naturally represented as graphs. This challenge has driven the rise of graph neural networks (GNNs), an approach that extends deep learning into new domains.

GNNs are powerful models designed to work with graph-structured data, where nodes represent individual data points and edges denote the relationships between them. Several variants have emerged:

Graph Convolutional Networks (GCNs): These networks learn from a node’s local neighborhood by aggregating information from adjacent nodes, updating the node’s representation in the process.
Graph Attentional Networks (GATs): By incorporating attention mechanisms, GATs focus on the most relevant neighbors during aggregation, enhancing model performance.
Graph Recurrent Networks (GRNs): These networks combine principles from RNNs with graph structures to capture dynamic relationships within the data.

GNNs are applied in a variety of advanced use cases, including node classification, link prediction, graph clustering, anomaly detection, recommendation systems, and also in natural language processing and computer vision. They help forecast traffic patterns, analyze molecular structures, verify programs, predict social influence, model electronic health records, and map brain networks.

"Synopsis" may belong to another edition of this title.

About the Author

Pethuru Raj is chief architect in the Edge AI division of Reliance Jio Platforms Ltd., Bangalore, India. He focuses on emerging technologies such as the Internet of Things (IoT), Artificial Intelligence (AI) Model Optimization, Big and Streaming Data Analytics, Blockchain, Digital Twins, Cloud-native, Serverless and Edge Computing, Reliability Engineering, Microservices architecture (MSA), Event-driven Architecture (EDA), 5G/6G and Metaverse. He previously worked at IBM Global Cloud Center of Excellence (CoE), Wipro Consulting Services (WCS), and Robert Bosch Corporate Research (CR). He has published more than thirty research papers in peer-reviewed journals, authored and edited forty-two books, and contributed more than fifty book chapters. He is a professional member of ACM. He received his PhD degree from Anna University, Chennai, India and did his postdoctoral research in computer science and automation (CSA) at the Indian Institute of Science, Bangalore, and at the Nagoya Institute of Technology, Kyoto University and the University of Tsukuba, Japan.

Dr Pawan Whig Dr Pawan Whig Senior IEEE Member, Honorary Fellow Member Threws India Dr Pawan Whig is a highly accomplished professional with a diverse skill set and a rich educational background. He holds a B.Tech in Electronics and Communication Engineering, which he completed in 2005, followed by an M.Tech in VLSI in 2008. He further expanded his expertise by earning a Doctorate from Jamia Millia Islamia. With over 23 years of experience in the field of Electronics and Communication, Dr Whig has made significant contributions to academia and industry. In addition to his core specialization, Dr. Whig is also well-versed in the areas of Artificial Intelligence, Machine Learning, and IoT. With over a decade of experience in these fields, he has played a pivotal role in the intersection of Electronics and Communication Engineering with AI, ML, and IoT technologies. His research interests encompass a wide range of areas, including Analog Signal Processing, Sensor Modeling, Water Quality Monitoring Applications, Simulation & Design, as well as AI, ML, and IoT. Dr Whig has published numerous technical articles in over 120 national and international journals, solidifying his position as a respected researcher and thought leader. Dr. Whig is an active member of the International Association of Engineers in Hong Kong, ISTE, IEEE, SCI, IEI, and the Computer Society of India (CSI).

N. Susila is Dean, Emerging Technology, at Sri Krishna College of Engineering and Technology with a total experience of 23 yrs. She completed her PhD in the field of Information and Communication Engineering in Cloud Computing. She has published over 30 papers in national and international journals and conferences and published 5 patents. She is an Innovation Ambassador of the Institution Innovation Council, Ministry of Education and a NITTTR mentor. She has received various awards and to name a few, National Cloud Champion Coordinator by AWS Educate, National Winner Coordinator, Learnathon, Best Coordinator, Skill Edge Technological Foundation Courses. She has authored various books and book chapters in the reputed press like Elsevier, CRC Press, IET, IGI Global etc. She has received grants from various funding agencies like AICTE, ICMR and DXC Technologies for organizing National and International Level Conferences, Workshops and the Women Empowerment Program. She has mentored a project titled “INTELLBOT” for the 2000 – 2004 batch students, which won First Prize at the Indian National Academy of Engineering (INAE), Delhi.

S. Usha is Professor and Head, Dean R&I, CSE, RRCE with an experience of 27 years. She received her Ph.D degree from Sathyabama University in Mobile Ad Hoc Networks. She has 70+ publications in International and National conferences, 45+ publications in national journals and international journals in Mobile Ad hoc Networks, IoT, and wireless security. She received the woman researcher award from Elsevier in the year 2020. She has reviewed papers in Springer journals, as well as IGI Global, IJCs and CiiT journals. She has authored two books on operating systems and C programming for problem solving, and co-edited Applied Learning Algorithms for Intelligent IoT (Routledge, 2022).

Dr Nikhitha Yathiraju received a PhD in Information Technology from the University of the Cumberlands, USA. Her research work was in the study of Artificial Intelligence in Cloud Enterprise Resource Planning. She is interested in writing journals and articles on Cyberthreats in Cloud technologies and Social Engineering Techniques. She was a certified Salesforce Administrator and works as Lead Automation Engineer in California, USA. She also worked as a Teaching Assistant at Silicon Valley University. She was honoured with the” International Best Researcher” award by ISSN-IIRAC 2023 in her field of expertise. She was also honoured with the “Best researcher award in AI” from International Research and Development Centre for Publication in 2022. She also participated in various international conferences like IRDCP, IFERP etc. She was also a member of Sigma Xi, SEFM and the American Educational Research Association (AERA). She participated as a Keynote speaker for various conferences like Wicked6, threwstalk.

"About the title" may belong to another edition of this title.

preigu

Osnabrück, Germany

5-star seller

AbeBooks seller since August 5, 2024

Shipping rates from Germany to U.S.A.

Item	60 to 60 business days	60 to 60 business days
First item	US$ 79.65	US$ 79.65

Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.

Payment methods

Paypal

Store description

preigu betreibt einen Onlineversandhandel mit über 1 Mio. Produkten in verschiedenen Sortimenten. Das Kernsortiment besteht aus Büchern, Medien und Spielwaren. Ein gelungenes Einkaufserlebnis ist das Ziel einer jeden Bestellung bei preigu, denn der Kunde und seine Zufriedenheit stehen an erster Stelle. preigu setzt daher auf einen kompetenten Kundenservice, funktionierende Prozesse und schnelle Reaktion.

Specialty

Bücher, Spielwaren

Seller's business information

preigu GmbH & Co. KG

Lengericher Landstraße 19
Osnabrück, Germany 49078

Contact sellerView this seller's itemsView seller's storefront

Terms of sale

Standard Business Terms and customer information

I. Standard business terms

§ 1 Basic provisions

(1) The following terms and conditions of business apply for all contracts concluded with us as the supplier (preigu GmbH & Co. KG) via the websites AbeBooks and/or ZVAB. Unless otherwise agreed, the inclusion of your own terms and conditions is explicitly rejected.

(2) A ‘consumer' in the sense of the following regulations is every natural person who concludes a legal transaction which, to an overwhelming extent, cannot be attributed to either his commercial or independent professional activities. The term ‘businessman' refers to every natural person, legal person or legally responsible partnership that concludes a legal transaction in pursuance of his/its independent professional or commercial activity.

§ 2 Conclusion of the contract

(1) The subject-matter of the contract is the selling of products .

(2) If an article is placed by us with AbeBooks or ZVAB, the activation of the page on AbeBooks or ZVAB shall involve the binding offer to conclude a contract under the terms and conditions contained in the article page.

(3) The contract shall become effective via the online shopping cart system as follows:
The products intended for purchase are moved to the "shopping cart". You can select the "Shopping Cart" using the appropriate buttons on the navigation bar and make changes there at any time.
After calling up the "Checkout" page and entering the required personal data and payment and shipping conditions, all order information is then displayed again on the order summary page.
Before submitting the order, you have the ability once more to review or change any information here (you may also use the "back" button on the Internet browser), or to cancel the purchase.
By clicking the "Buy now" button to submit the order, you declare your legally binding acceptance of the order which makes the contract effective.
(4) The execution of the order and the sending of all the details necessitated by the conclusion of the contract take place via e-mail, in a partially-automated manner. Consequently, you have to ensure that the e-mail address that you have deposited with us is the correct one, and that the receipt of the respective e-mails is guaranteed. In particular, you have to ensure that the respective e-mails are not blocked by a SPAM filter.

§ 3 Right of retention, reservation of proprietary rights

(1) You can only exercise a right of retention if the situation in question involves claims arising from the same contractual relationship.

(2) The goods remain our property until the purchase price is paid in full.

§ 4 Warranty

(1) The statutory warranty rights are applicable.

(2) As a consumer, you are requested to promptly check the product for completeness, visible defects and transport damage as soon as it is delivered, and promptly disclose your complaints to us and the shipping company in writing. Even if you do not comply with this request, it shall have no effect on your legal warranty claims.

(3) If a characteristic of the goods deviates from the objective requirements, the deviation shall only be deemed to be agreed if you were informed of the same by us before submitting the contractual declaration and the deviation was expressly and separately agreed between the contracting parties.

§ 5 Choice of law, place of fulfilment, jurisdiction

(1) German law shall apply. This choice of law only applies to customers if it does not result in the revocation of the protection guaranteed by the mandatory provisions of the law of the country in which the respective customer's usual place of residence is located (benefit-of-the-doubt principle).

(2) If you are not a consumer, but a businessman, a legal entity under public law or an institutional fund governed by public law, our place of business is the place of jurisdiction as well as the place of fulfilment for all services that follow from the business relationships that exist with us. The same condition applies to situations in which you are not associated with a general place of jurisdiction in Germany or the EU, as well as situations in which the place of residence or the usual place of residence is not known at the time of commencement of proceedings. This has no bearing on the capacity to call upon the court associated with another place of jurisdiction.

(3) The provisions of the UN Convention on Contracts for the International Sale of Goods are explicitly inapplicable.

II. Customer information

Identity of the seller

preigu GmbH & Co. KG
Lengericher Landstr. 19
49078 Osnabrück
Germany
Telephone: 0541-580 72 84
E-Mail: mail@preigu.de

We are neither willing nor obliged to participate in dispute resolution proceedings before consumer arbitration boards.

Information regarding the conclusion of the contract

The technical steps associated with the conclusion of the contract, the contract conclusion itself and the correction options are executed in accordance to the regulations "conclusion of the contract" in our standard business terms (part I.).

Contractual language, saving the text of the contract

3.1 Contract language shall be English.

3.2 The complete text of the contract is not saved with us. Before the order is sent, the contract data can be printed out or electronically saved using the browser's print function. After the order is received by us, the order data, the legally-mandated details related to distance selling contracts and the standard business terms are re-sent to you via e-mail.

Main features of the product or service

The key features of the goods and/or services can be found in the respective quote.

Prices and payment arrangements

5.1 The prices mentioned in the respective offers represent total prices, as do the shipping costs. They include all the price components, including all the incidental taxes.

5.2 The dispatch costs that are incurred are not included in the purchase price. They can be viewed by clicking the appropriate button on our website or in the respective quote, are shown separately over the course of the order transaction and must additionally be borne by you, insofar as free delivery is not confirmed.

5.3 If delivery is made to countries outside of the European Union, we may incur unreasonable additional costs, such as duties, taxes or money transfer fees (transfer or foreign exchange fees charged by the banks), which you must bear.

5.4 You must also bear the costs arising from money transfers in cases in which the delivery is made to an EU Member State, but the payment is initiated outside of the European Union.

5.5 The payment methods that are available to you are shown by clicking the appropriate button on our website or are disclosed in the respective quote.

5.6 Unless otherwise specified for the respective payment methods, the payment claims arising from the contract that has been concluded become payable immediately.

Delivery conditions

6.1 The delivery conditions, delivery date and existing supply restrictions, if applicable, can be found by clicking the appropriate button on our website or in the respective quote.

Unless a different period is specified in the item description or our delivery conditions, the goods are delivered within 3-5 days after the conclusion of the contract (in case an advance payment has been agreed upon, after the payment authorisation).

6.2 If you are a consumer, the following is statutorily regulated: The risk of the sold item accidentally being destroyed or degraded during shipping only passes over to you when the item in question is delivered, regardless of whether or not the shipping operation is insured. This condition does not apply if you have independently commissioned a transport company that has not been specified by us or a person who has otherwise been appointed to execute the shipping operation.

Statutory warranty right

Liability for defects is governed by the "Warranty" provisions in our General Terms and Conditions of Business (Part I).

Information on battery disposal

In connection with the sale of batteries or the delivery of devices containing batteries, we are obliged to inform you of the following:

Batteries must not be disposed of with household waste.

You can either return used batteries that we carry or have carried in our range as new batteries to us at your own expense or return them free of charge to our shipping warehouse (shipping address). Alternatively, you can hand in the batteries at your local collection points.

As an end user, you are legally obliged to return used batteries so that they can be recycled or disposed of properly.

Used batteries may contain harmful substances that can damage the environment or your health if not stored or disposed of properly. However, batteries also contain important raw materials such as iron, zinc, manganese or nickel and can be recycled.

The symbols on the batteries have the following meanings:

The symbol of the crossed-out wheelie bin means that the battery must not be disposed of with household waste.

For batteries containing a certain amount of lead, cadmium or mercury, the following additions below the symbol with the crossed-out wheelie bin indicate the respective pollutants:

Pb = Battery contains more than 0.004% lead by weight
Cd = Battery contains more than 0.002% cadmium by weight
Hg = Battery contains more than 0.0005% mercury by weight

Information on the costs involved in accordance with Article 56 (4) of the EU Battery Regulation (Regulation 2023/1542) can be found at the ‘Batterie-Zurück (https://www.batterie-zurueck.de/de/bewirtschaftungvonaltbatterien/)' initiative.
Please pay attention to the above instructions.

Graph Neural Networks: Essentials and Use Cases

Item description from seller

Bibliographic details

Synopsis

About the title