Meng Qu

TGNN: A Joint Semi-supervised Framework for Graph-level Classification

Wei Ju, Xiao Luo, Meng Qu et al. · Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence · 2022 · 38 citations · Full text

Joint Semi-supervised Framework, Twin Modules, Graph Kernel Module +15

TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery

Zhaocheng Zhu, Chence Shi, Zuobai Zhang et al. · arXiv (Cornell University) · 2022 · 30 citations · Full text

Geometric Learning, Drug Target, Engineering +18

Mo-doped ZIF-67 derived Ni, Co, Mo trimetallic sulfide/ carbon nanotubes for supercapacitors

Yifei Li, Zhongzhu Qiu, Meng Qu et al. · Journal of Energy Storage · 2023 · 27 citations

Materials Science, Engineering, Mo-doped Zif-67 +4

Learning on Large-scale Text-attributed Graphs via Variational Inference

Jianan Zhao, Meng Qu, Chaozhuo Li et al. · arXiv (Cornell University) · 2022 · 25 citations · Full text

Structured Prediction, Engineering, Language Learning +17

Risks of AI Scientists: Prioritizing Safeguarding Over Autonomy

Xiangru Tang, Qiao Jin, Kunlun Zhu et al. · arXiv (Cornell University) · 2024 · 12 citations · Full text