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Attribute-Guided Network Sampling Mechanisms
Suhansanu Kumar,
Hari Sundaram
Charles H. Sandage Department of Advertising
Institute of Communications Research
Center for Social & Behavioral Science
Siebel School of Computing and Data Science
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Keyphrases
Network Structure
100%
Random Walk
100%
Task-independent
100%
Agnostic
100%
Network Sampling
100%
Sampling Mechanism
100%
Attribute-guided
100%
Performance Improvement
50%
Information Theory
50%
NP-hard Problem
50%
Unseen
50%
Sampling Efficiency
50%
Internet Scale
50%
Snowball Sampling
50%
Optimization Solution
50%
Entire Graphs
50%
Forest Fire
50%
Attribute Space
50%
Data Mining Tasks
50%
In Clustering
50%
Clustering Task
50%
Wide Margin
50%
Counterfactual Analysis
50%
Node Contents
50%
Metropolis-Hastings
50%
Network Content
50%
Attributed Networks
50%
Attribute-aware
50%
Computer Science
Random Walk
100%
Network Structure
100%
Experimental Result
50%
Performance Improvement
50%
Information Theory
50%
Attribute Space
50%
Data Mining Task
50%
Clustering Task
50%
Counterfactual Analysis
50%