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Scalably Using Node Attributes and Graph Structure for Node Classification
The task of node classification concerns a network where nodes are associated with labels, but labels are known only for some of the …
Arpit Merchant, Ananth Mahadevan, Michael Mathioudakis
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Certifiable Unlearning Pipelines for Logistic Regression: An Experimental Study
Machine unlearning is the task of updating machine learning (ML) models after a subset of the training data they were trained on is …
Ananth Mahadevan, Michael Mathioudakis
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Provable randomized rounding for minimum-similarity diversification
When searching for information in a data collection, we are often interested not only in finding relevant items, but also in assembling …
Bruno Ordozgiti, Ananth Mahadevan, Antonis Matakos, Aristides Gionis
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