My main research interest is in complex data analysis. Complex data is often interconnected, evolving, and hard to label. With my group, we work on designing methods for analyzing such data, building on techniques for graph mining, graph representation learning, unsupervised and self-supervised learning, anomaly detection, learning with weak and/or uncertain labels, and active and human-in-the-loop learning. Our research projects often involve working with real-world data from online societies, where we des
My main research interest is complex data analysis. Complex data is often interconnected, evolving, and hard to label. With my group, at Complex Data Lab, we work on designing methods for analyzing such data; building on techniques for graph mining, graph representation learning, unsupervised and self-supervised learning, anomaly detection, learning with weak and/or uncertain labels, and active and human-in-the-loop learning. Our research projects often involve working with real-world data from online socie
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The McGill University Complex Data Lab Blog
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