Evaluating Community Structure Preservation of Network Embedding Algorithms
Abstract
Network embedding compresses network information into low-dimensional vectors while retaining structural and semantic details. Preserving community structure is vital. Existing evaluation metrics often overlook community structure. This study assesses network embedding algorithms across various community strengths, demonstrating performance variation in mesoscopic quality metrics.
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