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# The Structural EMBedding graph library (SEMB)
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**Authors: GEMS Lab Team @ University of Michigan** (Mark Jin, Ruowang Zhang, Mark Heimann)
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**Authors: GEMS Lab Team @ University of Michigan** ([Mark Jin](https://mark-jin.com), Ruowang Zhang, Mark Heimann)
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This SEMB library allows fast onboarding to get and evaluate structural node embeddings. With the unified API interface and the modular codebase, SEMB library enables easy intergration of 3rd-party methods and datasets.
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