Transferable Coarse Graining via Contrastive Learning of Graph Neural Networks is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.165. It has been cited 2 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
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Base Score Contribution
0.165
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Institutes of Health
Grant: 5R35GM133580-02
From epigenome to genome and back: disentangling the relationship between epigenetic modifications and chromatin organization
NIGMS NIH HHS
Grant: R35 GM133580
Fields of Study
Keywords
Sustainable Development Goals