Adaptive Label Smoothing To Regularize Large-Scale Graph Training.

Kaixiong Zhou Ninghao Liu Fan Yang Zirui Liu Rui Chen Li Li Soo-Hyun Choi Xia Hu

Published 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