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Efficient Core Propagation based Hierarchical Graph Clustering
Jinbin Huang
, Zihan Jia
,
Xin Huang
*
*
Corresponding author for this work
Department of Computer Science
Research output
:
Chapter in book/report/conference proceeding
›
Conference proceeding
›
peer-review
Overview
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Dive into the research topics of 'Efficient Core Propagation based Hierarchical Graph Clustering'. Together they form a unique fingerprint.
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Keyphrases
Graph Clustering
100%
Propagation-based
100%
Hierarchical Graph
100%
K-core
66%
Hierarchical Community Structure
50%
Hierarchical Level
50%
Label Propagation
33%
Coreness
33%
Bottom-up Algorithm
33%
Hierarchical Structure
16%
Hong Kong
16%
State-of-the-art Techniques
16%
Community Detection
16%
Densely Connected
16%
Community Search
16%
Community Members
16%
Search Methods
16%
Graph Structure
16%
Large-scale Networks
16%
Clustering Problem
16%
Complexity Level
16%
Weight-based
16%
Search Direction
16%
Road Network
16%
Problem-based
16%
Algorithm Complexity
16%
Propagation Method
16%
Real-world Graphs
16%
User Input
16%
Graph Clustering Algorithms
16%
Functional Modules
16%
Top-down Method
16%
Flight Network
16%
Fast Solution
16%
Linear-time Algorithm
16%
Natural Properties
16%
Community Hierarchy
16%
Disjoint Communities
16%
Computer Science
Clustering Graph
100%
Case Study
20%
Community Detection
20%
Functional Module
20%
Search Direction
20%
Algorithmic Efficiency
20%
Hierarchical Level
20%
Graph Clustering Method
20%