Articles | Volume 26, issue 19
https://doi.org/10.5194/hess-26-5163-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.A graph neural network (GNN) approach to basin-scale river network learning: the role of physics-based connectivity and data fusion
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- Final revised paper (published on 14 Oct 2022)
- Supplement to the final revised paper
- Preprint (discussion started on 25 Apr 2022)
- Supplement to the preprint
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on hess-2022-111', Anonymous Referee #1, 22 Jun 2022
- AC1: 'Reply on RC1', Alex Sun, 01 Sep 2022
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RC2: 'Comment on hess-2022-111', Uwe Ehret, 30 Jul 2022
- AC2: 'Reply on RC2', Alex Sun, 01 Sep 2022
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by editor) (06 Sep 2022) by Erwin Zehe
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AR by Alex Sun on behalf of the Authors (06 Sep 2022) 
Author's response
Author's tracked changes
ED: Publish as is (13 Sep 2022) by Erwin Zehe
![](https://www.hydrology-and-earth-system-sciences.net/graphic_grey_open_symbol_running_text.jpg)
AR by Alex Sun on behalf of the Authors (13 Sep 2022) 
Author's response
Manuscript