AdaGCN: Adaptive Boosting Algorithm for Graph Convolutional Networks on Imbalanced Node Classification.
Shuhao ShiKai QiaoShuai YangLinyuan WangJian ChenBin YanPublished in: CoRR (2021)
Keyphrases
- classification algorithm
- graph structure
- graph based algorithm
- probabilistic model
- tree structure
- path length
- expectation maximization
- learning algorithm
- fully connected
- multiclass classification
- support vector machine svm
- multi class classification
- undirected graph
- ensemble methods
- maximum flow
- edge weights
- weak classifiers
- weighted graph
- support vector machine
- classification accuracy
- k means
- feature vectors
- feature extraction
- feature selection