Weisfeiler-Lehman Meets Gromov-Wasserstein. - Samantha Chen 001; Sunhyuk Lim; Facundo Mémoli; Zhengchao Wan; Yusu Wang 001 (ICML, 2022)

Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions. - Samantha Chen 001; Yusu Wang 001 (NeurIPS, 2023)

The Weisfeiler-Lehman Distance: Reinterpretation and Connection with GNNs. - Samantha Chen 001; Sunhyuk Lim; Facundo Mémoli; Zhengchao Wan; Yusu Wang 001 (TAG-ML, 2023)

Learning Ultrametric Trees for Optimal Transport Regression. - Samantha Chen 001; Puoya Tabaghi; Yusu Wang 001 (AAAI, 2024)

Approximation algorithms for 1-Wasserstein distance between persistence diagrams. - Samantha Chen 001; Yusu Wang 001 (Comput. Geom., 2025)

Graph neural networks extrapolate out-of-distribution for shortest paths. - Robert R. Nerem; Samantha Chen 001; Sanjoy Dasgupta; Yusu Wang 001 (CoRR, 2025)