Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mustafa, Nimrah"'
Autor:
Mustafa, Nimrah, Burkholz, Rebekka
Graph Attention Networks (GATs) are designed to provide flexible neighborhood aggregation that assigns weights to neighbors according to their importance. In practice, however, GATs are often unable to switch off task-irrelevant neighborhood aggregat
Externí odkaz:
http://arxiv.org/abs/2406.00418
While the expressive power and computational capabilities of graph neural networks (GNNs) have been theoretically studied, their optimization and learning dynamics, in general, remain largely unexplored. Our study undertakes the Graph Attention Netwo
Externí odkaz:
http://arxiv.org/abs/2310.07235
The unprecedented growth of wireless mobile traffic, mainly due to multimedia traffic over online social platforms has strained the resources in the mobile backhaul network. A promising approach to reduce the backhaul load is to proactively cache con
Externí odkaz:
http://arxiv.org/abs/2110.03818
Machine Learning (ML) has revamped every domain of life as it provides powerful tools to build complex systems that learn and improve from experience and data. Our key insight is that to solve a machine learning problem, data scientists do not invent
Externí odkaz:
http://arxiv.org/abs/1801.09373