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Found 5 papers, 4 papers with code
Visual Diagrammatic Queries in ViziQuer: Overview and Implementation
In this paper we review the visual ViziQuer notation from the end-user point of view and describe the conceptual and technical solutions (including abstract syntax model, followed by a generation model for textual queries) that allow mapping of the visual diagrammatic query notation into the textual SPARQL language, thus enabling the execution of rich visual queries over the actual knowledge graphs.
Matrix Shuffle-Exchange Networks for Hard 2D Tasks
Convolutional neural networks have become the main tools for processing two-dimensional data.
Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences
Attention is a commonly used mechanism in sequence processing, but it is of O(n^2) complexity which prevents its application to long sequences.
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Neural Shuffle-Exchange Networks - Sequence Processing in O(n log n) Time
A key requirement in sequence to sequence processing is the modeling of long range dependencies.
Neural Shuffle-Exchange Networks -- Sequence Processing in O(n log n) Time
A key requirement in sequence to sequence processing is the modeling of long range dependencies.
