Independently E(3) Equivariant Graph Matching Networks for Protein-Protein Docking
dc.contributor.author
Huang, Xinyuan
dc.contributor.supervisor
Bian, Yatao
dc.contributor.supervisor
Bunne, Charlotte
dc.contributor.supervisor
Ganea, Octavian-Eugen
dc.contributor.supervisor
Krause, Andreas
dc.date.accessioned
2021-09-01T13:25:03Z
dc.date.available
2021-09-01T09:13:14Z
dc.date.available
2021-09-01T13:25:03Z
dc.date.issued
2021
dc.identifier.uri
http://hdl.handle.net/20.500.11850/503437
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.title
Independently E(3) Equivariant Graph Matching Networks for Protein-Protein Docking
en_US
dc.type
Master Thesis
ethz.size
62 p.
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::03908 - Krause, Andreas / Krause, Andreas
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::03908 - Krause, Andreas / Krause, Andreas
en_US
ethz.date.deposited
2021-09-01T09:13:19Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Closed access
en_US
ethz.date.embargoend
9999-12-31
ethz.rosetta.installDate
2021-09-01T13:25:24Z
ethz.rosetta.lastUpdated
2022-03-29T11:26:05Z
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true
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true
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Master Thesis [2218]