Enhance your data science skills with this updated edition featuring new chapters on LLMs, temporal graphs, and updated examples with modern frameworks, including PyTorch Geometric, and DGL Key Features Master new graph ML tech...Loe edasi...
Pethuru Raj, Pushan Kumar Dutta, Peter Han Joo Chong, Houbing Herbert Song, Dmitry A. Zaitsev
(Ilmumisaeg: 28-May-2025, Paperback / softback, Kirjastus: Morgan Kaufmann Publishers In, ISBN-13: 9780443296543)
Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Use Cases delineates how graph data science significantly empowers the application of data science. The book discusses the emerging para...Loe edasi...
A hands-on guide to powerful graph-based deep learning models! Learn how to build cutting-edge graph neural networks for recommendation engines, molecular modeling, and more.Graph Neural Networks in Action teaches you to create...Loe edasi...
Cut the Gordian Knot of the Social Media Data chaos with the power of Graph Databases. Learn how to combine and migrate data from multiple sources to Neo4j. With social media producing such huge amounts of data, the importance of g...Loe edasi...
Solve challenging and computationally intensive analytics problems by leveraging network science and graph algorithms Key Features Learn how to wrangle different types of datasets and analytics problems into networks Leverage g...Loe edasi...
This book constitutes the refereed proceedings of the 50th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2024, held in Gozd Martuljek, Slovenia in June 2024,The 31 papers presented in this volume were carefully...Loe edasi...
Cut the Gordian Knot of the Social Media Data chaos with the power of Graph Databases. Learn how to combine and migrate data from multiple sources to Neo4j. With social media producing such huge amounts of data, the importance of g...Loe edasi...
This book constitutes the proceedings of the First International Workshop on Topology- and Graph-Informed Imaging Informatics, TGI3 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted I...Loe edasi...
Provides a stepwise discussion, an exhaustive literature review, detailed analysis and discussion, rigorous experimentation results, and application-oriented approaches that are demonstrated with respect to applications of graph neural networks....Loe edasi...
This book will aim to provide stepwise discussion; exhaustive literature review; detailed analysis and discussion; rigorous experimentation results, application-oriented approach that will be demonstrated with respect to applications of Graph Neural...Loe edasi...
Exploring Mathematics with CAS Assistance is designed as a textbook for an innovative mathematics major course in using a computer algebra system (CAS) to investigate, explore, and apply mathematical ideas and techniques in problem solving. The bo...Loe edasi...
Presents a comprehensive overview on Graph Neural Networks (GNNs) for Natural Language Processing. The authors propose a new taxonomy of GNNs for NLP, which systematically organizes existing research of GNNs for NLP along three axes: graph construct...Loe edasi...
Data is everywhere - its just not very well connected, which makes it super hard to relate dataset to dataset. Using graphs as the underlying glue, you can readily join data together and create navigation paths across diverse sets of data. A...Loe edasi...
Pethuru Raj, Abhishek Kumar, Vicente García Díaz, Nachamai Muthuraman
Sari: Computing and Networks
(Ilmumisaeg: 28-Nov-2022, Hardback, Kirjastus: Institution of Engineering and Technology, ISBN-13: 9781839534881)
With the growing maturity and stability of digitization and edge technologies, vast numbers of digital entities, connected devices, and microservices interact purposefully to create huge sets of poly-structured digital data. Corporations are conti...Loe edasi...
This volume constitutes the thoroughly refereed proceedings of the 49th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2023. The 33 full papers presented in this volume were carefully reviewed and selected from a total...Loe edasi...
This book constitutes the refereed proceedings of the 13th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2023, which took place in Vietri sul Mare, Italy, in September 2023.The 16 f...Loe edasi...
Written primarily for students embarking on an undergraduate bioscience degree, this primer provides an accessible, straightforward, and approachable guide to data presentation using R....Loe edasi...
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 g...Loe edasi...
