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Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning
Multi-graph multi-label learning (\textsc{Mgml}) is a supervised learning framework, which aims to learn a multi-label classifier from a set of labeled bags each containing a number of graphs.
TwiInsight: Discovering Topics and Sentiments from Social Media Datasets
Social media platforms contain a great wealth of information which provides opportunities for us to explore hidden patterns or unknown correlations, and understand people's satisfaction with what they are discussing.
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