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Geoopt is a research-oriented modular open-source package for Riemannian Optimization in PyTorch.
Multi-relational poincaré graph embeddings
Balažević, I., Allen, C., and Hospedales, T · 1905
Earlier work this paper cites.
Riemannian batch normalization for spd neural networks
Brooks, D., Schwander, O., Barbaresco, F., Schneider, J.-Y., and Cord, M · 1909
Earlier work this paper cites.
Unsupervised hierarchy matching with optimal transport over hyperbolic spaces
Alvarez-Melis, D., Mroueh, Y., and Jaakkola, T. S · 1911
Earlier work this paper cites.
Constant curvature graph convolutional networks
Bachmann, G., Bécigneul, G., and Ganea, O.-E · 1911
Earlier work this paper cites.
Pytorch: An imperative style, high-performance deep learning library
Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., Killeen, T., Lin, Z., Gimelshein, N., Antiga, L., Desmaison, A., Köpf, A., Yang, E., DeVito, Z., Raison, M., Tejani, A., Chilamkurthy, S., Steiner, B., Fang, L., Bai, J., and Chintala, S · 1912
Earlier work this paper cites.
Hyperbolic groups
Gromov, M · 1987
Earlier work this paper cites.
Three-dimensional geometry and topology , volume 35
Thurston, W. P · 1997
Earlier work this paper cites.
Pep-8, 2001
van Rossum, G., Warsaw, B., and Coghlan, N · 2001
Earlier work this paper cites.
Riemannian manifolds: an introduction to curvature , volume 176
Lee, J. M · 2006
Earlier work this paper cites.
Optimization Algorithms on Matrix Manifolds
Absil, P.-A., Mahony, R., and Sepulchre, R · 2007
Earlier work this paper cites.
Beautiful differentiation (extended version)
Elliott, C · 2009
Earlier work this paper cites.
A rigidity theorem in alexandrov spaces with lower curvature bound
Yokota, T · 2012
Earlier work this paper cites.
Smooth manifolds
Lee, J. M · 2013
Earlier work this paper cites.
Manopt, a Matlab toolbox for optimization on manifolds
Boumal, N., Mishra, B., Absil, P.-A., and Sepulchre, R · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Kingma, D. P. and Ba, J · 2014
Earlier work this paper cites.
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Arjovsky, M., Shah, A., and Bengio, Y · 2015
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Space-time local embeddings
Sun, K., Wang, J., Kalousis, A., and Marchand-Maillet, S · 2015
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Townsend, J., Koep, N., and Weichwald, S · 2016
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Poincaré embeddings for learning hierarchical representations
Dhingra, B., Shallue, C. J., Norouzi, M., and Andrew M. Dai, G. E. D · 2017
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Chami, I., Ying, Z., Ré, C., and Leskovec, J · 2019
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Chen, B., Huang, X., Xiao, L., Cai, Z., and Jing, L · 2019
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Fast graph representation learning with PyTorch Geometric
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Gu, A., Sala, F., Gunel, B., and Ré, C · 2019
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Khrulkov, V., Mirvakhabova, L., Ustinova, E., Oseledets, I., and Lempitsky, V · 2019
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Elliott, C · 2018
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