Understand the merits of large language models vs. small language models, and why knowledge graphs are the missing piece in ...

I spent almost two years after I left the Cyber Protection Brigade working on training. Not traditional military training ...

Abstract: Deep neural networks for graphs (DNNGs) represent an emerging field that studies how the deep learning method can be generalized to graph-structured data. Since graphs are a powerful and ...

Abstract: This paper studies a heterogeneous multiplex network model that allows different dynamics in different layers. We explore intralayer synchronization of the multiplex network under distinct ...

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