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Group-Equivariant Neural Networks with Fusion Diagrams


Nov 14, 2022
Zimu Li, Han Zheng, Erik Thiede, Junyu Liu, Risi Kondor

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* 10 pages + 13-page supplementary materials, many figures 

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Predicting Drug-Drug Interactions using Deep Generative Models on Graphs


Sep 14, 2022
Nhat Khang Ngo, Truong Son Hy, Risi Kondor

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On the Super-exponential Quantum Speedup of Equivariant Quantum Machine Learning Algorithms with SU($d$) Symmetry


Jul 15, 2022
Han Zheng, Zimu Li, Junyu Liu, Sergii Strelchuk, Risi Kondor

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* A shorter version established based on arXiv:2112.07611, presented in TQC 2022 

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Temporal Multiresolution Graph Neural Networks For Epidemic Prediction


Jun 01, 2022
Truong Son Hy, Viet Bach Nguyen, Long Tran-Thanh, Risi Kondor

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Symmetry Group Equivariant Architectures for Physics


Mar 11, 2022
Alexander Bogatskiy, Sanmay Ganguly, Thomas Kipf, Risi Kondor, David W. Miller, Daniel Murnane, Jan T. Offermann, Mariel Pettee, Phiala Shanahan, Chase Shimmin, Savannah Thais

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* Contribution to Snowmass 2021 

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Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ans{ä}tze


Dec 14, 2021
Han Zheng, Zimu Li, Junyu Liu, Sergii Strelchuk, Risi Kondor

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* 16 pages, 12 figures 

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Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs


Nov 02, 2021
Truong Son Hy, Risi Kondor

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Multiresolution Graph Variational Autoencoder


Jun 02, 2021
Truong Son Hy, Risi Kondor

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Autobahn: Automorphism-based Graph Neural Nets


Mar 02, 2021
Erik Henning Thiede, Wenda Zhou, Risi Kondor

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* 8 pages, 5 figures 

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ATOM3D: Tasks On Molecules in Three Dimensions


Dec 07, 2020
Raphael J. L. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander Powers, Yianni Laloudakis, Sidhika Balachandar, Brandon Anderson, Stephan Eismann, Risi Kondor, Russ B. Altman, Ron O. Dror

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