microsoft/Graphormer. November, 2023. original-date: 2021-05-27T05:31:18Z
Paper abstract bibtex Graphormer is a general-purpose deep learning backbone for molecular modeling.
@misc{noauthor_microsoftgraphormer_2023,
title = {microsoft/{Graphormer}},
copyright = {MIT},
url = {https://github.com/microsoft/Graphormer},
abstract = {Graphormer is a general-purpose deep learning backbone for molecular modeling.},
urldate = {2023-11-30},
publisher = {Microsoft},
month = nov,
year = {2023},
note = {original-date: 2021-05-27T05:31:18Z},
keywords = {/unread, ai4science, deep-learning, graph, molecule-simulation, transformer},
}
Downloads: 0
{"_id":"EQraWEMdMffPqmpz2","bibbaseid":"anonymous-microsoftgraphormer-2023","bibdata":{"bibtype":"misc","type":"misc","title":"microsoft/Graphormer","copyright":"MIT","url":"https://github.com/microsoft/Graphormer","abstract":"Graphormer is a general-purpose deep learning backbone for molecular modeling.","urldate":"2023-11-30","publisher":"Microsoft","month":"November","year":"2023","note":"original-date: 2021-05-27T05:31:18Z","keywords":"/unread, ai4science, deep-learning, graph, molecule-simulation, transformer","bibtex":"@misc{noauthor_microsoftgraphormer_2023,\n\ttitle = {microsoft/{Graphormer}},\n\tcopyright = {MIT},\n\turl = {https://github.com/microsoft/Graphormer},\n\tabstract = {Graphormer is a general-purpose deep learning backbone for molecular modeling.},\n\turldate = {2023-11-30},\n\tpublisher = {Microsoft},\n\tmonth = nov,\n\tyear = {2023},\n\tnote = {original-date: 2021-05-27T05:31:18Z},\n\tkeywords = {/unread, ai4science, deep-learning, graph, molecule-simulation, transformer},\n}\n\n\n\n","key":"noauthor_microsoftgraphormer_2023","id":"noauthor_microsoftgraphormer_2023","bibbaseid":"anonymous-microsoftgraphormer-2023","role":"","urls":{"Paper":"https://github.com/microsoft/Graphormer"},"keyword":["/unread","ai4science","deep-learning","graph","molecule-simulation","transformer"],"metadata":{"authorlinks":{}},"downloads":0,"html":""},"bibtype":"misc","biburl":"https://bibbase.org/zotero/zzhenry2012","dataSources":["nZHrFJKyxKKDaWYM8"],"keywords":["/unread","ai4science","deep-learning","graph","molecule-simulation","transformer"],"search_terms":["microsoft","graphormer"],"title":"microsoft/Graphormer","year":2023}