activity
20202023
most citedSelf-Supervised Graph Transformer on Large-Scale Molecular Data

419 citations · 476 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2023★ 20 cited

Kinetic Monte Carlo Simulations of Sodium Ion Transport in NaSICON Electrodes

Ziliang Wang, Tara P. Mishra, Weihang Xie +4

The development of high-performance sodium (Na) ion batteries requires improved electrode materials. The energy and power densities of Na superionic conductor (NaSICON) electrode m…

physics.acc-ph2023★ 1 cited

Significant improvement of the lower critical field in Y doped Nb: potential replacement of basic material for the radio-frequency superconducting cavity

Wei Xie, Yu-Hao Liu, Xinwei Fan +1

The research of high energy and nuclear physics requires high power accelerators, and the superconducting radio-frequency (SRF) cavity is regarded as their engine. Up to now, the w…

q-bio.QM2022★ 1 cited

From Discovery to Production: Challenges and Novel Methodologies for Next Generation Biomanufacturing

Wei Xie, Giulia Pedrielli

The increasingly pressing demand of novel drugs (e.g., gene therapies for personalized cancer care, ever evolving vaccines) with unprecedented levels of personalization, has put a…

q-bio.BM2020★ 419 cited

Self-Supervised Graph Transformer on Large-Scale Molecular Data

Yu Rong, Yatao Bian, Tingyang Xu +4

How to obtain informative representations of molecules is a crucial prerequisite in AI-driven drug design and discovery. Recent researches abstract molecules as graphs and employ G…

q-bio.QM2020★ 35 cited

Multi-View Graph Neural Networks for Molecular Property Prediction

Hehuan Ma, Yatao Bian, Yu Rong +5

The crux of molecular property prediction is to generate meaningful representations of the molecules. One promising route is to exploit the molecular graph structure through Graph…