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cs.LG2024
On GNN explanability with activation rules
Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner +2
GNNs are powerful models based on node representation learning that perform particularly well in many machine learning problems related to graphs. The major obstacle to the deploym…
cs.LG2020
Sequential recommendation with metric models based on frequent sequences
Corentin Lonjarret, Roch Auburtin, Céline Robardet +1
Modeling user preferences (long-term history) and user dynamics (short-term history) is of greatest importance to build efficient sequential recommender systems. The challenge lies…