Network Shapes Repository – Data Lab @ Syracuse

Network Shapes Repository is a research data collection from the Data Lab, EECS Department, Syracuse University. For each network we generate shapes using multiple sampling methods (Random Edge, Random Node, Random Walk), embedding methods (Kronecker Points, Graph2Vec, Spectral Points), and fitting methods (Convex Hull, Cuboid, Sphere). All shape data and generation code are freely available.

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Datasets