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

Graph neural networks (GNNs) are among the most powerful tools in deep l...

Fast Neural Network based Solving of Partial Differential Equations

We present a novel method for using Neural Networks (NNs) for finding so...

A Topological Approach for Semi-Supervised Learning

Nowadays, Machine Learning and Deep Learning methods have become the sta...

Automated Crossword Solving

We present the Berkeley Crossword Solver, a state-of-the-art approach fo...

Neural network topological snake models for locating general phase diagrams

Machine learning for locating phase diagram has received intensive resea...

Deep Features for CBIR with Scarce Data using Hebbian Learning

Features extracted from Deep Neural Networks (DNNs) have proven to be ve...