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  Pre-training Molecular Graph Representation with 3D Geometry

Liu, S., Wang, H., Liu, W., Lasenby, J., Guo, H., & Tang, J. (2022). Pre-training Molecular Graph Representation with 3D Geometry. In The Tenth International Conference on Learning Representations. Amherst, MA: OpenReview.net. Retrieved from https://openreview.net/forum?id=xQUe1pOKPam.

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Genre: Conference Paper

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Locator:
https://openreview.net/forum?id=xQUe1pOKPam (Publisher version)
Description:
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OA-Status:
Miscellaneous
Description:
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OA-Status:
Green

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 Creators:
Liu, Shengchao 1, Author
Wang, Hanchen 1, Author
Liu, Weiyang1, 2, Author           
Lasenby, Joan 1, Author
Guo, Hongyu 1, Author
Tang, Jian 1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 2022-04
 Publication Status: Published online
 Pages: 32
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Liuetal22
URI: https://openreview.net/forum?id=xQUe1pOKPam
arXiv: 2110.07728
 Degree: -

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Title: The 10th International Conference on Learning Representations (ICLR 2022)
Place of Event: Online
Start-/End Date: 2022-04-25 - 2022-04-29

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Title: The Tenth International Conference on Learning Representations
  Subtitle : ICLR 2022
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Amherst, MA : OpenReview.net
Pages: - Volume / Issue: - Sequence Number: 1772 Start / End Page: - Identifier: URI: https://openreview.net/group?id=ICLR.cc/2022/Conference