PrePeP: A Light-Weight, Extensible Tool for Predicting Frequent Hitters

Christophe Couronne,Maksim Koptelov,Albrecht Zimmermann

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: APPLIED DATA SCIENCE AND DEMO TRACK, ECML PKDD 2020, PT V（2021）

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摘要

We present PrePeP, a light-weight tool for predicting whether molecules are frequent hitters, and visually inspecting the sub-graphs supporting this decision. PrePeP is contains three modules: a mining component, an encoding/predicting component, and a graphical interface, all of which are easily extensible.

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frequent hitters,light-weight

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