Adaptive Label Smoothing To Regularize Large-Scale Graph Training.
Kaixiong ZhouNinghao LiuFan YangZirui LiuRui ChenLi LiSoo-Hyun ChoiXia HuPublished in: CoRR (2021)
Keyphrases
- graph structure
- label propagation
- graph theoretic
- training set
- directed graph
- real world
- supervised learning
- random walk
- graph representation
- connected components
- classifier training
- graph theory
- small scale
- graph matching
- bipartite graph
- structured data
- weighted graph
- training samples
- multi label
- class labels
- training examples
- graph model
- noise removal
- graph cuts
- image classification
- bayesian networks