Zihan Pengmei

According to our database, Zihan Pengmei authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling, and Zero-Shot Transfer.

Zihan Pengmei, Zhengyuan Shen, Zichen Wang, Marcus D. Collins, Huzefa Rangwala

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

geom2vec: pretrained GNNs as geometric featurizers for conformational dynamics.

Zihan Pengmei, Chatipat Lorpaiboon, Spencer C. Guo, Jonathan Weare, Aaron R. Dinner

CoRR, 2024

Technical Report: The Graph Spectral Token - Enhancing Graph Transformers with Spectral Information.

Zihan Pengmei, Zimu Li

CoRR, 2024

2023

Transformers are efficient hierarchical chemical graph learners.

Zihan Pengmei, Zimu Li, Chih-chan Tien, Risi Kondor, Aaron R. Dinner

CoRR, 2023

xxMD: Benchmarking Neural Force Fields Using Extended Dynamics beyond Equilibrium.

Zihan Pengmei, Yinan Shu, Junyu Liu

CoRR, 2023