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Mufei Li
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2020 – today
- 2024
- [i5]Tengfei Ma, Xiang Song, Wen Tao, Mufei Li, Jiani Zhang, Xiaoqin Pan, Jianxin Lin, Bosheng Song, Xiangxiang Zeng:
KGExplainer: Towards Exploring Connected Subgraph Explanations for Knowledge Graph Completion. CoRR abs/2404.03893 (2024) - 2023
- [i4]Mufei Li, Eleonora Kreacic, Vamsi K. Potluru, Pan Li:
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? CoRR abs/2310.13833 (2023) - 2022
- [c1]Zichen Wang, Vassilis N. Ioannidis, Huzefa Rangwala, Tatsuya Arai, Ryan Brand, Mufei Li, Yohei Nakayama:
Graph Neural Networks in Life Sciences: Opportunities and Solutions. KDD 2022: 4834-4835 - 2021
- [j1]Fengqing Lu, Mufei Li, Xiaoping Min, Chunyan Li, Xiangxiang Zeng:
De novo generation of dual-target ligands using adversarial training and reinforcement learning. Briefings Bioinform. 22(6) (2021) - [i3]Mufei Li, Jinjing Zhou, Jiajing Hu, Wenxuan Fan, Yangkang Zhang, Yaxin Gu, George Karypis:
DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science. CoRR abs/2106.14232 (2021) - [i2]Fabio Broccatelli, Richard Trager, Michael Reutlinger, George Karypis, Mufei Li:
Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces. CoRR abs/2111.13964 (2021)
2010 – 2019
- 2019
- [i1]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:
Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. CoRR abs/1909.01315 (2019)
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last updated on 2024-10-07 21:21 CEST by the dblp team
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