A semantic graph database technology vendor is supporting a key specification designed to validate graph-based data against a set of conditions that specify the “shape” of data. The goal is a more ...
This project demonstrates the use of Graph Neural Networks (GNNs) to classify synthetic 2D shapes (triangles, rectangles, circles, hexagons, ellipses). It covers the full machine learning pipeline ...
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