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Thinking of Sylos Labini (or Sylos Labini's Thinking)

Review of Political Economy, 2007
Abstract This note reflects upon the methodological principles that Paolo Sylos Labini (1920–2005) brought to his work as a political economist. Sylos Labini drew upon history, political science, sociology and philosophy in order to explain economic processes, and he insisted that an interdisciplinary approach was essential to formulating effective ...
openaire   +2 more sources

High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations

International Conference for High Performance Computing, Networking, Storage and Analysis, 2023
Graph attention models (A-GNNs), a type of Graph Neural Networks (GNNs), have been shown to be more powerful than simpler convolutional GNNs (C-GNNs). However, A-GNNs are more complex to program and difficult to scale.
Maciej Besta   +17 more
semanticscholar   +1 more source

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