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cs.LG2022
Graph-based Semi-supervised Local Clustering with Few Labeled Nodes
Zhaiming Shen, Ming-Jun Lai, Sheng Li
Local clustering aims at extracting a local structure inside a graph without the necessity of knowing the entire graph structure. As the local structure is usually small in size co…
cs.LG2022
A Compressed Sensing Based Least Squares Approach to Semi-supervised Local Cluster Extraction
Ming-Jun Lai, Zhaiming Shen
A least squares semi-supervised local clustering algorithm based on the idea of compressed sensing is proposed to extract clusters from a graph with known adjacency matrix. The alg…