Abstract: Entity resolution is an important task in data integration and data cleaning. This study explores how graph-based techniques can address the challenges of data availability and label quality ...
Abstract: Handling noisy data is a longstanding challenge in machine learning, and the complexity increases when working with graph structured data. In domains such as social networks, biological ...
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