Mufei Li

According to our database, Mufei Li authored at least 6 papers between 2019 and 2023.

Collaborative distances:

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

2023

GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?

Mufei Li, Eleonora Kreacic, Vamsi K. Potluru, Pan Li

CoRR, 2023

2022

Graph Neural Networks in Life Sciences: Opportunities and Solutions.

Zichen Wang, Vassilis N. Ioannidis, Huzefa Rangwala, Tatsuya Arai, Ryan Brand, Mufei Li, Yohei Nakayama

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces.

Fabio Broccatelli, Richard Trager, Michael Reutlinger, George Karypis, Mufei Li

CoRR, 2021

DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science.

Mufei Li, Jinjing Zhou, Jiajing Hu, Wenxuan Fan, Yangkang Zhang, Yaxin Gu, George Karypis

CoRR, 2021

De novo generation of dual-target ligands using adversarial training and reinforcement learning.

Fengqing Lu, Mufei Li, Xiaoping Min, Chunyan Li, Xiangxiang Zeng

Briefings Bioinform., 2021

2019

Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs.

Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander J. Smola, Zheng Zhang

CoRR, 2019