124 citations · 264 across the 8 of their papers we have counts for
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cs.IR2020
Modurec: Recommender Systems with Feature and Time Modulation
Javier Maroto, Clément Vignac, Pascal Frossard
Current state of the art algorithms for recommender systems are mainly based on collaborative filtering, which exploits user ratings to discover latent factors in the data. These a…
cs.LG2020★ 21 cited
Building powerful and equivariant graph neural networks with structural message-passing
Clement Vignac, Andreas Loukas, Pascal Frossard
Message-passing has proved to be an effective way to design graph neural networks, as it is able to leverage both permutation equivariance and an inductive bias towards learning lo…