Mingyang Chen (陈名杨) Ph.D. Student Zhejiang University Email: mingyangchen@zju.edu.cn

About Me

I am now a visiting Ph.D. student at the University of Edinburgh, supervised by Prof. Jeff Z. Pan, and a fourth-year Ph.D. student at Zhejiang University, supervised by Prof. Huajun Chen. My research interest is broadly in knowledge graphs, especially knowledge graph representation learning and reasoning. I am excited about ​​the generalization problem of knowledge graph embedding, aiming at handling unseen elements (i.e., entities and relations) in knowledge graphs.

I am currently seeking job opportunities in the fields of knowledge graph and natural language processing. Please feel free to contact me if you are interested in my research!

Publications

• NeuralKG-ind:A Python Library for Inductive Knowledge Graph Representation Learning
  Wen Zhang, Zhen Yao, Mingyang Chen, Zhiwei Huang, Huajun Chen
  SIGIR 2023
  [paper][code]

• Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs
  Mingyang Chen, Wen Zhang, Yuxia Geng, Zezhong Xu, Jeff Z. Pan, Huajun Chen
  IJCAI 2023
  [paper]

• Tele-Knowledge Pre-training for Fault Analysis
  Zhuo Chen, Wen Zhang, Yufeng Huang, Mingyang Chen, Yuxia Geng, Hongtao Yu, Zhen Bi, Yichi Zhang, Zhen Yao, Wenting Song, Xinliang Wu, Yi Yang, Song Jiang, Zhaoyang Lian, Yingying Li, Huajun Chen
  ICDE 2023
  [paper][code]

• Structure Pre-training and Prompt Tuning for Knowledge Graph Transfer
  Wen Zhang, Yushan Zhu, Mingyang Chen, Yuxia Geng, Yufeng Huang, Yajing Xu, Wenting Song and Huajun Chen
  WWW 2023
  [paper][code]

• Relational Message Passing for Fully Inductive Knowledge Graph Completion
  Yuxia Geng, Jiaoyan Chen, Wen Zhang, Jeff Z. Pan, Mingyang Chen, Huajun Chen, Song Jiang
  ICDE 2023
  [paper][code]

• Analogical Inference Enhanced Knowledge Graph Embedding
  Yao Zhen, Zhang Wen, Mingyang Chen, Yufeng Huang, Yi Yang, Huajun Chen
  AAAI 2023
  [paper][code]

• Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding
  Mingyang Chen, Wen Zhang, Zhen Yao, Yushan Zhu, Yang Gao, Jeff Z. Pan, Huajun Chen
  AAAI 2023
  [paper][code]

• Federated Knowledge Graph Completion via Embedding-Contrastive Learning
  Mingyang Chen, Wen Zhang, Zonggang Yuan, Yantao Jia, Huajun Chen
  Knowledge-Based Systems 2022
  [paper]

• Understanding and Improving Knowledge Graph Embedding for Entity Alignment
  Lingbing Guo, Qiang Zhang, Zequn Sun, Mingyang Chen, Wei Hu, Huajun Chen
  ICML 2022
  [paper][code]

• Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting
  Mingyang Chen, Wen Zhang, Zhen Yao, Xiangnan Chen, Mengxiao Ding, Fei Huang, Huajun Chen
  IJCAI 2022
  [paper][code]

• Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding
  Mingyang Chen, Wen Zhang, Yushan Zhu, Hongting Zhou, Zonggang Yuan, Changliang Xu, Huajun Chen
  SIGIR 2022
  [paper][code]

• NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs
  Wen Zhang, Xiangnan Chen, Zhen Yao, Mingyang Chen, Yushan Zhu, Hongtao Yu, Yufeng Huang, Zezhong Xu, Yajing Xu, Ningyu Zhang, Zonggang Yuan, Feiyu Xiong, Huajun Chen
  SIGIR 2022
  [paper][code][website]

• DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning
  Yushan Zhu, Wen Zhang, Mingyang Chen, Hui Chen, Xu Cheng, Wei Zhang, Huajun Chen
  WSDM 2022
  [paper]

• Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules
  Wen Zhang, Shumin Deng, Mingyang Chen, Liang Wang, Qiang Chen, Feiyu Xiong, Xiangwen Liu, Huajun Chen
  IJCKG 2021
  [paper]

• FedE: Embedding Knowledge Graphs in Federated Setting
  Mingyang Chen, Wen Zhang, Zonggang Yuan, Yantao Jia, Huajun Chen
  IJCKG 2021 (Best Paper Award)
  [paper][code]

• Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs
  Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen, Huajun Chen
  EMNLP 2019
  [paper][code]