GSchnet for OE62 dataset

Version of the G-SchNet code to train the OE62 data set. (https://github.com/rhyan10/G-SchNetOE62/tree/v0.1) For tutorials and installation, please see the original repository. For training G-SchNet on the OE62 data set, use this code and follow the tutorial, but replace the QM9 data set with the OE62 data set (https://www.nature.com/articles/s41597-020-0385-y). Note: The adapted script to train OE62 is "template_data", hence add "--datset_name template_data" to the command used for training. A tutorial how to train and use G-SchNet for OE62 can be found here: Westermayr, Julia (2022): G-SchNet for OE62. figshare. Dataset. https://doi.org/10.6084/m9.figshare.20146943.v2

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	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
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	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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