Mufei Li

According to our database, Mufei Li authored at least 14 papers between 2019 and 2025.

Collaborative distances:

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

2025

Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation.

Deyu Zou, Yongqiang Chen, Mufei Li, Siqi Miao, Chenxi Liu, Bo Han, James Cheng, Pan Li

CoRR, June, 2025

Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models.

Haoyu Wang, Peihao Wang, Mufei Li, Shikun Liu, Siqi Miao, Zhangyang Wang, Pan Li

CoRR, June, 2025

LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation.

Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas, Ying Zhang, Tushar Krishna, Pan Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation.

Mufei Li, Siqi Miao, Pan Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation.

Tengfei Ma, Xiang Song, Wen Tao, Mufei Li, Jiani Zhang, Xiaoqin Pan, Yijun Wang, Bosheng Song, Xiangxiang Zeng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?

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

Trans. Mach. Learn. Res., 2024

Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning.

Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li, Xiang Yue, Bo Li, Vamsi K. Potluru, Pan Li, Eli Chien

CoRR, 2024

LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation.

Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas Sridharan, Ying Zhang, Tushar Krishna, Pan Li

CoRR, 2024

KGExplainer: Towards Exploring Connected Subgraph Explanations for Knowledge Graph Completion.

Tengfei Ma, Xiang Song, Wen Tao, Mufei Li, Jiani Zhang, Xiaoqin Pan, Jianxin Lin, Bosheng Song, Xiangxiang Zeng

CoRR, 2024

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