Imbalanced Nodes Classification for Graph Neural Networks Based on Valuable Sample Mining.

Min Liu Siwen Jin Luo Jin Shuohan Wang Yu Fang Yuliang Shi

Published in: CoRR (2022)

Keyphrases

neural network
pattern recognition
directed graph
graph structure
pattern classification
classification accuracy
class imbalance
multi layer perceptron
training process

weighted graph
support vector machine svm
decision trees
random walk
quasi cliques
nodes of a graph
imbalanced data sets
imbalanced datasets
binary classification problems

machine learning
training samples
text classification
feature extraction
support vector machine
feature vectors
feature selection
classification algorithm
training set

root node
single class
graph structures
active learning
rule extraction
nearest neighbour
wireless sensor networks
multi class
supervised learning