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05/28/2023
Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation
The use of graph convolution in the development of recommender system al...
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03/28/2023
Item Graph Convolution Collaborative Filtering for Inductive Recommendations
Graph Convolutional Networks (GCN) have been recently employed as core c...
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08/19/2019
Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology
Hierarchical clustering has been shown to be valuable in many scenarios,...
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05/13/2019
Bayesian Hierarchical Mixture Clustering using Multilevel Hierarchical Dirichlet Processes
This paper focuses on the problem of hierarchical non-overlapping cluste...
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08/16/2018