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01/03/2023
Uptrendz: API-Centric Real-time Recommendations in Multi-Domain Settings
In this work, we tackle the problem of adapting a real-time recommender ...
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07/23/2021
Structack: Structure-based Adversarial Attacks on Graph Neural Networks
Recent work has shown that graph neural networks (GNNs) are vulnerable t...
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10/30/2020
On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks
Graph Neural Networks (GNNs) are effective in many applications. Still, ...
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03/30/2020
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering
In this work, we study the utility of graph embeddings to generate laten...
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07/15/2019
Should we Embed? A Study on the Online Performance of Utilizing Embeddings for Real-Time Job Recommendations
In this work, we present the findings of an online study, where we explo...
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06/12/2019
Exploiting weak ties in trust-based recommender systems using regular equivalence
User-based Collaborative Filtering (CF) is one of the most popular appro...
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07/18/2018