Adapting SGD from graph drawing produces a scikit-learn compatible stochastic solver that converges faster than SMACOF for global stress minimization while achieving comparable or lower stress on benchmarks.
Evaluating graph layout algorithms: A systematic review of methods and best practices
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Bridging Graph Drawing and Dimensionality Reduction with Stochastic Stress Optimization
Adapting SGD from graph drawing produces a scikit-learn compatible stochastic solver that converges faster than SMACOF for global stress minimization while achieving comparable or lower stress on benchmarks.