Graph Learning Techniques
暫譯: 圖學習技術

Shan, Baoling, Yuan, Xin, Ni, Wei

Graph Learning Techniques
  • 出版商: CRC
  • 出版日期: 2025-02-26
  • 售價: $2,510
  • 貴賓價: 9.5 折 $2,385
  • 語言: 英文
  • 頁數: 162
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032851120
  • ISBN-13: 9781032851129

    • 海外代購書籍(需單獨結帳)

商品描述

This comprehensive guide addresses key challenges at the intersection of data science, graph learning, and privacy preservation.

It begins with foundational graph theory, covering essential definitions, concepts, and var-ious types of graphs. The book bridges the gap between theory and application, equipping readers with the skills to translate theoretical knowledge into actionable solutions for complex problems. It includes practical insights into brain network analysis and the dynamics of COVID-19 spread. The guide provides a solid understanding of graphs by exploring different graph representations and the latest advancements in graph learning techniques. It focuses on diverse graph signals and offers a detailed review of state-of-the-art methodologies for analyzing these signals. A major emphasis is placed on privacy preservation, with comprehensive discussions on safeguarding sensitive information within graph structures. The book also looks forward, offering insights into emerging trends, potential challenges, and the evolving landscape of privacy-preserving graph learning.

This resource is a valuable reference for advance undergraduate and postgraduate students in courses related to Network Analysis, Privacy and Security in Data Analytics, and Graph Theory and Applications in Healthcare.

商品描述(中文翻譯)

這本綜合指南針對數據科學、圖形學習和隱私保護交匯處的關鍵挑戰進行探討。

本書從基礎的圖論開始，涵蓋了基本定義、概念以及各種圖形的類型。該書彌合了理論與應用之間的鴻溝，使讀者具備將理論知識轉化為解決複雜問題的可行解決方案的技能。它提供了有關腦網絡分析和COVID-19傳播動態的實用見解。這本指南通過探索不同的圖形表示法和圖形學習技術的最新進展，提供了對圖形的堅實理解。它專注於多樣的圖形信號，並詳細回顧了分析這些信號的最先進方法論。書中對隱私保護給予了重大重視，全面討論了在圖形結構中保護敏感信息的策略。本書還展望未來，提供了對新興趨勢、潛在挑戰以及隱私保護圖形學習不斷演變的格局的見解。

這本資源對於高年級本科生和研究生在與網絡分析、數據分析中的隱私與安全以及醫療保健中的圖論與應用相關的課程中，都是一個寶貴的參考資料。

作者簡介

Baoling Shan is currently a Lecturer at University of Science and Technology Beijing, Beijing, China.

Xin Yuan is currently a Senior Research Scientist at CSIRO, Sydney, NSW, Australia, and an Adjunct Senior Lecturer at the University of New South Wales.

Wei Ni is a Principal Research Scientist at CSIRO, Sydney, Australia, a Fellow of IEEE, a Conjoint Professor at the University of New South Wales, an Adjunct Professor at the University of Technology Sydney, and an Honorary Professor at Macquarie University.

Ren Ping Liu is a Professor and the Head of the Discipline of Network and Cybersecurity, University of Technology Sydney (UTS), Ultimo, NSW, Australia.

Eryk Dutkiewicz is currently the Head of School of Electrical and Data Engineering at the University of Technology Sydney, Australia. He is a Senior Member of IEEE and his research interests cover 5G/6G and IoT networks.

作者簡介(中文翻譯)

包靈山目前是北京科技大學的講師，位於中國北京。

辛源目前是澳大利亞悉尼聯邦科學與工業研究組織（CSIRO）的高級研究科學家，並且是新南威爾士大學的兼任高級講師。

魏妮是澳大利亞悉尼聯邦科學與工業研究組織（CSIRO）的首席研究科學家，IEEE 會士，新南威爾士大學的聯合教授，悉尼科技大學的兼任教授，以及麥考瑞大學的榮譽教授。

劉仁平是悉尼科技大學（UTS）網路與網路安全學科的教授及系主任，位於澳大利亞新南威爾士州的Ultimo。

艾瑞克·杜特基維茲目前是澳大利亞悉尼科技大學電氣與數據工程學院的院長。他是IEEE的高級會員，研究興趣涵蓋5G/6G和物聯網（IoT）網路。

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