Seguir
Zhengchao Wan
Título
Citado por
Citado por
Año
Persistent Laplacians: Properties, algorithms and implications
F Mémoli, Z Wan, Y Wang
SIAM Journal on Mathematics of Data Science 4 (2), 858-884, 2022
622022
Understanding oversquashing in gnns through the lens of effective resistance
M Black, Z Wan, A Nayyeri, Y Wang
International Conference on Machine Learning, 2528-2547, 2023
402023
On p-Metric Spaces and the p-Gromov-Hausdorff Distance
F Mémoli, Z Wan
p-Adic Numbers, Ultrametric Analysis and Applications 14 (3), 173-223, 2022
17*2022
Weisfeiler-lehman meets gromov-Wasserstein
S Chen, S Lim, F Mémoli, Z Wan, Y Wang
International Conference on Machine Learning, 3371-3416, 2022
172022
A novel construction of Urysohn universal ultrametric space via the Gromov-Hausdorff ultrametric
Z Wan
Topology and its Applications 300, 107759, 2021
142021
The Gromov-Hausdorff distance between ultrametric spaces: its structure and computation
F Mémoli, Z Smith, Z Wan
arXiv preprint arXiv:2110.03136, 2021
132021
The numerical stability of hyperbolic representation learning
G Mishne, Z Wan, Y Wang, S Yang
International Conference on Machine Learning, 24925-24949, 2023
112023
The ultrametric Gromov–Wasserstein distance
F Mémoli, A Munk, Z Wan, C Weitkamp
Discrete & Computational Geometry 70 (4), 1378-1450, 2023
102023
The wasserstein transform
F Memoli, Z Smith, Z Wan
International Conference on Machine Learning, 4496-4504, 2019
92019
The Weisfeiler-Lehman distance: Reinterpretation and connection with gnns
S Chen, S Lim, F Mémoli, Z Wan, Y Wang
Topological, Algebraic and Geometric Learning Workshops 2023, 404-425, 2023
62023
Characterization of Gromov-type geodesics
F Mémoli, Z Wan
Differential Geometry and its Applications 88, 102006, 2023
62023
A generalization of the persistent laplacian to simplicial maps
AB Gülen, F Mémoli, Z Wan, Y Wang
arXiv preprint arXiv:2302.03771, 2023
62023
Some results about the tight span of spheres
S Lim, F Memoli, Z Wan, Q Wang, L Zhou
arXiv preprint arXiv:2112.12646, 2021
42021
Distances for Markov chains, and their differentiation
T Brugère, Z Wan, Y Wang
International Conference on Algorithmic Learning Theory, 282-336, 2024
22024
Comparing Graph Transformers via Positional Encodings
M Black, Z Wan, G Mishne, A Nayyeri, Y Wang
arXiv preprint arXiv:2402.14202, 2024
22024
The persistent Laplacian for data science: evaluating higher-order persistent spectral representations of data
T Davies, Z Wan, RJ Sanchez-Garcia
International Conference on Machine Learning, 7249-7263, 2023
22023
The Gaussian transform
K Jin, F Mémoli, Z Wan
arXiv preprint arXiv:2006.11698, 2020
22020
Random Walks, Conductance, and Resistance for the Connection Graph Laplacian
A Cloninger, G Mishne, A Oslandsbotn, SJ Robertson, Z Wan, Y Wang
arXiv preprint arXiv:2308.09690, 2023
12023
All You Need is Resistance: On the Equivalence of Effective Resistance and Certain Optimal Transport Problems on Graphs
S Robertson, Z Wan, A Cloninger
arXiv preprint arXiv:2404.15261, 2024
2024
Orthogonal Möbius Inversion and Grassmannian Persistence Diagrams
AB Gülen, F Mémoli, Z Wan
arXiv preprint arXiv:2311.06870, 2023
2023
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20