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cs.LG2024
Graph Neural Networks Need Cluster-Normalize-Activate Modules
Arseny Skryagin, Felix Divo, Mohammad Amin Ali +2
Graph Neural Networks (GNNs) are non-Euclidean deep learning models for graph-structured data. Despite their successful and diverse applications, oversmoothing prohibits deep archi…
cs.LG2024
Deep Learning Based Crime Prediction Models: Experiments and Analysis
Rittik Basak Utsha, Muhtasim Noor Alif, Yeasir Rayhan +2
Crime prediction is a widely studied research problem due to its importance in ensuring safety of city dwellers. Starting from statistical and classical machine learning based crim…