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1 Ergebnisse
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Describe Molecules by a Heterogeneous Graph Neural Network ..:
Daiguo Deng (10824002)
;
Zengrong Lei (9624150)
;
Xiaobin Hong (6562769)
..
https://figshare.com/articles/journal_contribution/Describe_Molecules_by_a_Heterogeneous_Graph_Neural_Network_with_Transformer-like_Attention_for_Supervised_Property_Predictions/18857980. , 2022
Link:
https://doi.org/10.1021/acsomega.1c06389.s001
RT Journal T1
Describe Molecules by a Heterogeneous Graph Neural Network with Transformer-like Attention for Supervised Property Predictions
UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_18857980&Exemplar=1&LAN=DE A1 Daiguo Deng (10824002) A1 Zengrong Lei (9624150) A1 Xiaobin Hong (6562769) A1 Ruochi Zhang (9189695) A1 Fengfeng Zhou (9927) YR 2022 K1 Biotechnology K1 Space Science K1 Biological Sciences not elsewhere classified K1 Mathematical Sciences not elsewhere classified K1 Chemical Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 test splitting details K1 natural language processing K1 https :// github K1 graph neural network K1 art prediction performance K1 principle study demonstrated K1 molecule graph may K1 transformer reading function K1 molecular property predictions K1 molecular property K1 molecule using K1 molecular structure K1 study represented K1 source code K1 rapid development K1 new level K1 molhgt ) K1 like attention K1 hidden states K1 existing studies K1 different types K1 describe molecules K1 deep learning K1 better represent JF https://figshare.com/articles/journal_contribution/Describe_Molecules_by_a_Heterogeneous_Graph_Neural_Network_with_Transformer-like_Attention_for_Supervised_Property_Predictions/18857980 LK http://dx.doi.org/https://doi.org/10.1021/acsomega.1c06389.s001 DO https://doi.org/10.1021/acsomega.1c06389.s001 SF ELIB - SuUB Bremen
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