Search Results for author: Maria Kalantzi

Found 3 papers, 0 papers with code

Position-based Hash Embeddings For Scaling Graph Neural Networks

no code implementations31 Aug 2021 Maria Kalantzi, George Karypis

GNNs compute node representations by taking into account the topology of the node's ego-network and the features of the ego-network's nodes.

Position Recommendation Systems +1

LLFR: A Lanczos-Based Latent Factor Recommender for Big Data Scenarios

no code implementations14 Jun 2016 Maria Kalantzi

The purpose if this master's thesis is to study and develop a new algorithmic framework for Collaborative Filtering to produce recommendations in the top-N recommendation problem.

Collaborative Filtering Recommendation Systems

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