E-LIB Suche - Ergebnisse für: Han, Andi

1

A Simple Yet Effective Framelet-Based Graph Neural Network ..:

Zou, Chunya ; Han, Andi ; Lin, Lequan..
IEEE Transactions on Artificial Intelligence. 5 (2024) 4 - p. 1647-1657 , 2024

Link: https://doi.org/10.1109/..

2

Differentially private Riemannian optimization:

Han, Andi ; Mishra, Bamdev ; Jawanpuria, Pratik.
Machine Learning. 113 (2024) 3 - p. 1133-1161 , 2024

Link: https://doi.org/10.1007/..

3

Learning with Symmetric Positive Definite Matrices via Gene..:

, In: Lecture Notes in Computer Science; Geometric Science of Information,

Han, Andi ; Mishra, Bamdev ; Jawanpuria, Pratik. - p. 405-415 , 2023

Link: https://doi.org/10.1007/..

4

Riemannian Hamiltonian Methods for Min-Max Optimization on ..:

Han, Andi ; Mishra, Bamdev ; Jawanpuria, Pratik..
SIAM Journal on Optimization. 33 (2023) 3 - p. 1797-1827 , 2023

Link: https://doi.org/10.1137/..

5

Fixed Point Laplacian Mapping: A Geometrically Correct Mani..:

, In: 2023 International Joint Conference on Neural Networks (IJCNN),

Shi, Dai ; Han, Andi ; Guo, Yi. - p. 1-9 , 2023

Link: https://doi.org/10.1109/..

6

Enhancing framelet GCNs with generalized p-Laplacian regula..:

Shao, Zhiqi ; Shi, Dai ; Han, Andi...
International Journal of Machine Learning and Cybernetics. 15 (2023) 4 - p. 1553-1573 , 2023

Link: https://doi.org/10.1007/..

7

Improved Variance Reduction Methods for Riemannian Non-Conv..:

Han, Andi ; Gao, Junbin
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44 (2022) 11 - p. 7610-7623 , 2022

Link: https://doi.org/10.1109/..

8

Riemannian block SPD coupling manifold and its application ..:

Han, Andi ; Mishra, Bamdev ; Jawanpuria, Pratik.
Machine Learning. 113 (2022) 4 - p. 1595-1622 , 2022

Link: https://doi.org/10.1007/..

9

Robust Denoising in Graph Neural Networks:

, In: 2022 IEEE Symposium Series on Computational Intelligence (SSCI),

Zhang, Siying ; Han, Andi ; Gao, Junbin - p. 1088-1095 , 2022

Link: https://doi.org/10.1109/..

10

SpecSTG: A Fast Spectral Diffusion Framework for Probabilis..:

Lin, Lequan ; Shi, Dai ; Han, Andi.
http://arxiv.org/abs/2401.08119. , 2024

Link: http://arxiv.org/abs/240..

11

Design Your Own Universe: A Physics-Informed Agnostic Metho..:

Shi, Dai ; Han, Andi ; Lin, Lequan...
http://arxiv.org/abs/2401.14580. , 2024

Link: http://arxiv.org/abs/240..

12

From Continuous Dynamics to Graph Neural Networks: Neural D..:

Han, Andi ; Shi, Dai ; Lin, Lequan.
http://arxiv.org/abs/2310.10121. , 2023

Link: http://arxiv.org/abs/231..

13

Exposition on over-squashing problem on GNNs: Current Metho..:

Shi, Dai ; Han, Andi ; Lin, Lequan..
http://arxiv.org/abs/2311.07073. , 2023

Link: http://arxiv.org/abs/231..

14

Unifying over-smoothing and over-squashing in graph neural ..:

Shao, Zhiqi ; Shi, Dai ; Han, Andi...
http://arxiv.org/abs/2309.02769. , 2023

Link: http://arxiv.org/abs/230..

15

Riemannian block SPD coupling manifold and its application ..:

Han, Andi ; Mishra, Bamdev ; Jawanpuria, Pratik.
http://arxiv.org/abs/2201.12933. , 2022

Link: http://arxiv.org/abs/220..