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Mufei Li
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Deep graph library: A graph-centric, highly-performant package for graph neural networks
M Wang, D Zheng, Z Ye, Q Gan, M Li, X Song, J Zhou, C Ma, L Yu, Y Gai, ...
arXiv preprint arXiv:1909.01315, 2019
11142019
Deep graph library: Towards efficient and scalable deep learning on graphs
M Wang, L Yu, D Zheng, Q Gan, Y Gai, Z Ye, M Li, J Zhou, Q Huang, C Ma, ...
ICLR workshop on representation learning on graphs and manifolds, 2019
6862019
Dgl-lifesci: An open-source toolkit for deep learning on graphs in life science
M Li, J Zhou, J Hu, W Fan, Y Zhang, Y Gu, G Karypis
ACS Omega, 2021
1232021
Drkg-drug repurposing knowledge graph for covid-19
VN Ioannidis, X Song, S Manchanda, M Li, X Pan, D Zheng, X Ning, ...
https://github.com/gnn4dr/DRKG, 2020
101*2020
A knowledge graph of clinical trials (CTKG)
Z Chen, B Peng, VN Ioannidis, M Li, G Karypis, X Ning
Scientific reports 12 (1), 4724, 2022
13*2022
Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces
F Broccatelli, R Trager, M Reutlinger, G Karypis, M Li
Molecular Informatics, 2022
112022
De novo generation of dual-target ligands using adversarial training and reinforcement learning
F Lu, M Li, X Min, C Li, X Zeng
Briefings in Bioinformatics 22 (6), bbab333, 2021
102021
A statistical characterization of attentions in graph neural networks
M Li, H Zhang, X Shi, M Wang, Z Zhang
International Conference on Learning Representations (ICLR) 2019 Workshop on …, 2019
72019
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
M Li, E Kreačić, VK Potluru, P Li
arXiv preprint arXiv:2310.13833, 2023
32023
Graph Neural Networks in Life Sciences: Opportunities and Solutions
Z Wang, VN Ioannidis, H Rangwala, T Arai, R Brand, M Li, Y Nakayama
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
22022
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