Pseudo-Riemannian Graph Convolutional Networks
Pseudo-Riemannian Graph Convolutional Networks
Xiong, Bo
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Zhu, Shichao
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Potyka, Nico
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Pan, Shirui
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Zhou, Chuan
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Staab, Steffen
bf48d51b-bd11-4d58-8e1c-4e6e03b30c49
Xiong, Bo
d8c3ce0a-07ac-43f8-bd67-f230c6cbc1ec
Zhu, Shichao
0962a16d-69e5-4dcf-a3b4-a6eca361edab
Potyka, Nico
a8a29aeb-d747-4ac0-9c76-b093b4d3bb67
Pan, Shirui
5defae6b-0217-4d18-8c99-8ef0dd7665ca
Zhou, Chuan
2d43ec0c-1ddc-4605-94da-3677f44bc9dc
Staab, Steffen
bf48d51b-bd11-4d58-8e1c-4e6e03b30c49
Xiong, Bo, Zhu, Shichao, Potyka, Nico, Pan, Shirui, Zhou, Chuan and Staab, Steffen
(2022)
Pseudo-Riemannian Graph Convolutional Networks.
Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, , New Orleans, United States.
28 Nov - 09 Dec 2022.
(In Press)
Record type:
Conference or Workshop Item
(Paper)
Text
pseudo_riemannian_graph_convol
- Accepted Manuscript
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Accepted/In Press date: 8 October 2022
Venue - Dates:
Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, , New Orleans, United States, 2022-11-28 - 2022-12-09
Identifiers
Local EPrints ID: 471372
URI: http://eprints.soton.ac.uk/id/eprint/471372
PURE UUID: 13983720-1751-4830-8ac8-5e56a4ff7d36
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Date deposited: 04 Nov 2022 17:34
Last modified: 17 Mar 2024 03:38
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Contributors
Author:
Bo Xiong
Author:
Shichao Zhu
Author:
Nico Potyka
Author:
Shirui Pan
Author:
Chuan Zhou
Author:
Steffen Staab
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