Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification.
Shuhao ShiKai QiaoShuai YangLinyuan WangJian ChenBin YanPublished in: Frontiers Neurorobotics (2021)
Keyphrases
- learning algorithm
- decision tree algorithm
- graph structure
- feature selection
- support vector machine svm
- multiclass classification
- tree structure
- classification algorithm
- weak classifiers
- k means
- classification method
- path length
- boosting algorithms
- fully connected
- adaboost algorithm
- finding the shortest path
- preprocessing stage
- ensemble classifier
- undirected graph
- roc curve
- directed graph
- decision trees
- multi class classification
- feature selection algorithms
- classification trees
- training samples
- supervised learning
- support vector
- maximum flow
- social networks
- graph based algorithm
- betweenness centrality
- machine learning