Yixiang Fang's Books

Cohesive Subgraph Search Over Large Heterogeneous Information Networks

By: Yixiang Fang,Kai Wang,Xuemin Lin,Wenjie Zhang

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Cohesive Subgraph Search Over Large Heterogeneous Information Networks

By: Yixiang Fang,Kai Wang,Xuemin Lin,Wenjie Zhang

This SpringerBrief provides the first systematic review of the existing works of cohesive subgraph search (CSS) over large heterogeneous information networks (HINs). It also covers the research breakthroughs of this area, including models, algorithms and comparison studies in recent years. This SpringerBrief offers a list of promising future research directions of performing CSS over large HINs. The authors first classify the existing works of CSS over HINs according to the classic cohesiveness metrics such as core, truss, clique, connectivity, density, etc., and then extensively review the specific models and their corresponding search solutions in each group. Note that since the bipartite network is a special case of HINs, all the models developed for general HINs can be directly applied to bipartite networks, but the models customized for bipartite networks may not be easily extended for other general HINs due to their restricted settings. The authors also analyze and compare these cohesive subgraph models (CSMs) and solutions systematically. Specifically, the authors compare different groups of CSMs and analyze both their similarities and differences, from multiple perspectives such as cohesiveness constraints, shared properties, and computational efficiency. Then, for the CSMs in each group, the authors further analyze and compare their model properties and high-level algorithm ideas. This SpringerBrief targets researchers, professors, engineers and graduate students, who are working in the areas of graph data management and graph mining. Undergraduate students who are majoring in computer science, databases, data and knowledge engineering, and data science will also want to read this SpringerBrief.

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Springer Nature

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ISBN 10

3030975681

ISBN 13

9783030975685

High-Temperature Electrochemical Energy Conversion and Storage

Fundamentals and Applications

By: Yixiang Shi,Ningsheng Cai,Tianyu Cao,Jiujun Zhang

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High-Temperature Electrochemical Energy Conversion and Storage

Fundamentals and Applications

By: Yixiang Shi,Ningsheng Cai,Tianyu Cao,Jiujun Zhang

As global demands for energy and lower carbon emissions rise, developing systems of energy conversion and storage becomes necessary. This book explores how Electrochemical Energy Storage and Conversion (EESC) devices are promising advanced power systems that can directly convert chemical energy in fuel into power, and thereby aid in proposing a solution to the global energy crisis. The book focuses on high-temperature electrochemical devices that have a wide variety of existing and potential applications, including the creation of fuel cells for power generation, production of high-purity hydrogen by electrolysis, high-purity oxygen by membrane separation, and various high-temperature batteries. High-Temperature Electrochemical Energy Conversion and Storage: Fundamentals and Applications provides a comprehensive view of the new technologies in high-temperature electrochemistry. Written in a clear and detailed manner, it is suitable for developers, researchers, or students of any level.

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228

Publisher

CRC Press

Published Date

ISBN 10

1351332015

ISBN 13

9781351332019

Cohesive Subgraph Search Over Large Heterogeneous Information Networks

By: Yixiang Fang,Kai Wang,Xuemin Lin,Wenjie Zhang

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Cohesive Subgraph Search Over Large Heterogeneous Information Networks

By: Yixiang Fang,Kai Wang,Xuemin Lin,Wenjie Zhang

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Solve jigsaw puzzle

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Publisher

Springer Nature

Published Date

ISBN 10

3030975681

ISBN 13

9783030975685

Book's by Yixiang Fang

Cohesive Subgraph Search Over Large Heterogeneous Information Networks

Cohesive Subgraph Search Over Large Heterogeneous Information Networks

High-Temperature Electrochemical Energy Conversion and Storage

High-Temperature Electrochemical Energy Conversion and Storage

Cohesive Subgraph Search Over Large Heterogeneous Information Networks

Cohesive Subgraph Search Over Large Heterogeneous Information Networks

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