Adaptive Label Smoothing To Regularize Large-Scale Graph Training.
Kaixiong ZhouSoo-Hyun ChoiZirui LiuNinghao LiuFan YangRui ChenLi LiXia HuPublished in: SDM (2023)
Keyphrases
- training set
- classifier training
- label propagation
- small scale
- minimum spanning tree
- directed graph
- structured data
- graph representation
- training examples
- real world
- graph theoretic
- training phase
- online learning
- graph matching
- graph structure
- training process
- graph model
- random walk
- semi supervised learning
- neural network
- graph theory
- graph mining
- spanning tree
- connected components
- graph partitioning
- test set
- supervised learning
- active learning