1 citations · 1 across the 5 of their papers we have counts for
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Supra-Laplacian Encoding for Transformer on Dynamic Graphs
Yannis Karmim, Marc Lafon, Raphael Fournier S'niehotta +1
Fully connected Graph Transformers (GT) have rapidly become prominent in the static graph community as an alternative to Message-Passing models, which suffer from a lack of express…
Temporal receptive field in dynamic graph learning: A comprehensive analysis
Yannis Karmim, Leshanshui Yang, Raphaël Fournier S'Niehotta +3
Dynamic link prediction is a critical task in the analysis of evolving networks, with applications ranging from recommender systems to economic exchanges. However, the concept of t…
ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation
Yannis Karmim, Elias Ramzi, Raphaël Fournier-S'niehotta +1
Graph Neural Networks (GNNs), especially message-passing-based models, have become prominent in top-k recommendation tasks, outperforming matrix factorization models due to their a…