Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Advisor "Narasimha Murthy, M"
Now showing items 1-3 of 3
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Hypergraph Network Models: Learning, Prediction, and Representation in the Presence of Higher-Order Relations
The very thought about “relating” objects makes us assume the relation would be “pairwise”, and not of a “higher-order” — involving possibly more than two of them at a time. Yet in reality, higher-order relations do exist ... -
Neural Models for Personalized Recommendation Systems with External Information
Personalized recommendation systems use the data generated by user-item interactions (for example, in the form of ratings) to predict different users interests in available items and recommend a set of items or products ... -
Representing Networks: Centrality, Node Embeddings, Community Outliers and Graph Representation
Networks are ubiquitous. We start our technical work in this thesis by exploring the classical concept of node centrality (also known as influence measure) in information networks. Like clustering, node centrality is also ...