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Showing 1 to 2 of 2 for “"link prediction tasks"”.
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Link Prediction on Distributed Systems
… (GNNs) and transformer-based architectures, for link prediction tasks. Despite their success, these models struggle with large-scale, temporal data and limited generalization capabilities. This research addresses these challenges by developing a diffusion-based model that incorporates advanced …
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Structure-aware Deep Learning
… learning algorithms and the very nature of the tasks they solve. At the same time, machine learning methods are extremely data-hungry, requiring petabytes of data for training. Due to their complexity, graphs remain an under-utilized resource in this regard. Many approaches cannot incorporate …