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Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation [article]

Guillaume Salha-Galvan
2022 arXiv   pre-print
Graph autoencoders (GAE) and variational graph autoencoders (VGAE) emerged as two powerful groups of unsupervised node embedding methods, with various applications to graph-based machine learning problems  ...  In the last part of this thesis, we evaluate our methods on several graphs extracted from the music streaming service Deezer. We put the emphasis on graph-based music recommendation problems.  ...  Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020) [310] .  ... 
arXiv:2205.14651v1 fatcat:rm7mktndtfbm3i5qigqmm24qsu