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48
research
∙ 05/19/2022

Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis

Graph neural networks (GNNs) are among the most powerful tools in deep l...
Maciej Besta, et al. ∙
69
research
∙ 05/18/2022

Fast Neural Network based Solving of Partial Differential Equations

We present a novel method for using Neural Networks (NNs) for finding so...
Jaroslaw Rzepecki, et al. ∙
22
research
∙ 05/19/2022

A Topological Approach for Semi-Supervised Learning

Nowadays, Machine Learning and Deep Learning methods have become the sta...
Adrián Inés, et al. ∙
14
research
∙ 05/19/2022

Automated Crossword Solving

We present the Berkeley Crossword Solver, a state-of-the-art approach fo...
Eric Wallace, et al. ∙
12
research
∙ 05/19/2022

Neural network topological snake models for locating general phase diagrams

Machine learning for locating phase diagram has received intensive resea...
Wanzhou Zhang, et al. ∙
27
research
∙ 05/18/2022

Deep Features for CBIR with Scarce Data using Hebbian Learning

Features extracted from Deep Neural Networks (DNNs) have proven to be ve...
Gabriele Lagani, et al. ∙

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