API and Modules
Classic (learning-free) linear assignment problem solvers. |
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Classic (learning-free) two-graph matching solvers. |
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Classic (learning-free) multi-graph matching solvers. |
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Neural network-based graph matching solvers. |
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Utility functions: problem formulating, data processing, and beyond. |
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The Benchmark module with a unified data interface to evaluate graph matching methods. |
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The implementations of data loading and data processing. |
Warning
By default the API functions and modules run on numpy
backend. You could set the default backend by calling
pygm.set_backend('new_backend')
. If you are using other backends, the corresponding package (such as
PyTorch) should be installed. See the numerical backend guide for details.