Clustering with Entropy-based Recombination for Training GCNs on Large Graphs.
Shangwei WuYingtong XiongHui LiangChuliang WengPublished in: ICDM (Workshops) (2023)
Keyphrases
- graph theoretic
- clustering algorithm
- clustering method
- graph clustering
- training set
- k means
- online learning
- fuzzy clustering
- graph partitioning
- training phase
- spanning tree
- self organizing maps
- outlier detection
- hierarchical clustering
- graph structures
- weighted graph
- graph theory
- spectral methods
- training examples
- training samples
- building blocks
- similarity function
- bipartite graph
- data objects
- data clustering
- training process
- graph model
- graphical models
- active learning
- similarity measure
- neural network