Learning with Graph Kernels in the Chemical Universe

Presentations slides of Yu-Hang Tang during the 2019 DSI Data Science Workshop on application of active machine learning and graph kernels. The talk also features the release of the GraphDot library.

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PID https://www.doi.org/10.5281/zenodo.3364078
PID https://www.doi.org/10.5281/zenodo.3401560
PID https://www.doi.org/10.5281/zenodo.3364077
PID https://www.doi.org/10.5281/zenodo.3433276
URL https://zenodo.org/record/3401560
URL http://dx.doi.org/10.5281/zenodo.3401560
URL https://figshare.com/articles/Learning_with_Graph_Kernels_in_the_Chemical_Universe/9413903
URL https://figshare.com/articles/Learning_with_Graph_Kernels_in_the_Chemical_Universe/11444505
URL https://zenodo.org/record/3433276
URL http://dx.doi.org/10.5281/zenodo.3433276
URL https://figshare.com/articles/Learning_with_Graph_Kernels_in_the_Chemical_Universe/11529726
URL http://dx.doi.org/10.5281/zenodo.3364078
URL http://dx.doi.org/10.5281/zenodo.3364077
URL https://zenodo.org/record/3364078
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Access Right Open Access
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Author Tang, Yu-Hang, 0000-0001-7424-5439
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Collected From figshare; Datacite; FigShare
Hosted By Zenodo; figshare; FigShare
Publication Date 2019-08-08
Additional Info
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Language English
Resource Type Other literature type; Conference object
system:type publication
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::385387ed7b6f2102776baf5a24f78a7e
Author jsonws_user
Last Updated 25 December 2020, 17:59 (CET)
Created 25 December 2020, 17:59 (CET)