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Stability and generalization of graph convolutional networks in eigen-domains
Michael K. Ng
, Andy Yip
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Corresponding author for this work
Department of Mathematics
Research output
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peer-review
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Dive into the research topics of 'Stability and generalization of graph convolutional networks in eigen-domains'. Together they form a unique fingerprint.
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Keyphrases
Graph Convolutional Network
100%
Eigen Domain
100%
Neural Network
50%
Uniform Stability
33%
Benchmark Dataset
16%
Semi-supervised Learning
16%
Learning Process
16%
Two-layer
16%
Stability Analysis
16%
Transductive
16%
Generalization Analysis
16%
Analysis on Graphs
16%
Graph Construction
16%
Generalization Gap
16%
Machine Learning Problems
16%
Problems in Practice
16%
Two-layer Graph
16%
Engineering
Experimental Result
100%
Illustrates
100%
Learning System
100%
Filtration
100%
Stability Analysis
100%
Computer Science
Graph Convolutional Network
100%
Neural Network
50%
Experimental Result
16%
Machine Learning
16%
Learning System
16%
Semisupervised Learning
16%
Learning Process
16%
Learning Problem
16%
Stability Analysis
16%
Chemical Engineering
Neural Network
100%
Filtration
33%
Learning System
33%
Supervised Learning
33%
Mathematics
Convolution
100%
Neural Network
60%
Stability Analysis
20%