Mufei Li

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 7

Top Topics

Attributed Graphs

Frequent Subgraph Mining

Diffusion Models

Top Venues

Briefings Bioinform.

Publications

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 (2024)
Mufei Li, Eleonora Kreacic, Vamsi K. Potluru, Pan Li
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? CoRR (2023)
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)
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)
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 (2021)
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 (2021)
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 (2019)