M2Mol: Multi-view Multi-granularity Molecular Representation Learning for Property Prediction
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5575-2_19
Reference20 articles.
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4. Han, S., et al.: HimGNN: a novel hierarchical molecular graph representation learning framework for property prediction. Briefings Bioinf. 24(5), bbad305 (2023)
5. Jaeger, S., Fulle, S., Turk, S.: Mol2vec: unsupervised machine learning approach with chemical intuition. J. Chem. Inf. Model. 58(1), 27–35 (2018)
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