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cs.LG2024★ 4 cited
Leiden-Fusion Partitioning Method for Effective Distributed Training of Graph Embeddings
Yuhe Bai, Camelia Constantin, Hubert Naacke
In the area of large-scale training of graph embeddings, effective training frameworks and partitioning methods are critical for handling large networks. However, they face two maj…
cs.LG2012
Dynamic recommender system : using cluster-based biases to improve the accuracy of the predictions
Modou Gueye, Talel Abdessalem, Hubert Naacke
It is today accepted that matrix factorization models allow a high quality of rating prediction in recommender systems. However, a major drawback of matrix factorization is its sta…