Partition and Learned Clustering with joined-training: Active learning of GNNs on large-scale graph.
Jian GaoJianshe WuXin ZhangYing LiChunlei HanChubing GuoPublished in: Knowl. Based Syst. (2022)
Keyphrases
- active learning
- graph theoretic
- partitioning algorithm
- normalized cut
- clustering method
- graph clustering
- training examples
- clustering algorithm
- training set
- supervised learning
- graph partitioning
- k means
- annotation effort
- pairwise similarities
- homogeneous groups
- real world
- weighted graph
- graph model
- directed graph
- random walk
- spectral clustering
- min cut
- graph theory
- unsupervised manner
- disjoint clusters
- graph construction
- training stage
- vertex set
- training process
- random sampling
- graph structure
- bipartite graph
- hierarchical clustering
- data objects
- data clustering
- self organizing maps
- training samples
- unsupervised learning
- clustering ensemble
- set of training images
- structured data
- crowd sourced
- decision trees