Chendi Qian

Theaterstraße 35-39

52062 Aachen

Germany

Hi! My name is Chendi Qian. I am a Ph.D. student at RWTH Aachen University, supervised by Prof. Dr. Christopher Morris. Previously I earned my Master of Science degree from the Technical University of Munich, under the guidance of Prof. Dr. Stephan Günnemann. Prior to that, I completed my Bachelor of Engineering at Zhejiang University, with my thesis supervised by Prof. Dr. Ronghao Zheng. I am particularly interested in the field of graph machine learning, encompassing both its theoretical foundations and practical applications.

selected publications

Ordered subgraph aggregation networks

Chendi Qian, Gaurav Rattan, Floris Geerts, Mathias Niepert, and Christopher Morris

Advances in Neural Information Processing Systems, 2022

Bib HTML

@article{qian2022ordered,
  title = {Ordered subgraph aggregation networks},
  author = {Qian, Chendi and Rattan, Gaurav and Geerts, Floris and Niepert, Mathias and Morris, Christopher},
  journal = {Advances in Neural Information Processing Systems},
  volume = {35},
  pages = {21030--21045},
  year = {2022},
}

Influence-based mini-batching for graph neural networks

Johannes Gasteiger, Chendi Qian, and Stephan Günnemann

In Learning on Graphs Conference, 2022

Bib HTML

@inproceedings{gasteiger2022influence,
  title = {Influence-based mini-batching for graph neural networks},
  author = {Gasteiger, Johannes and Qian, Chendi and G{\"u}nnemann, Stephan},
  booktitle = {Learning on Graphs Conference},
  pages = {9--1},
  year = {2022},
  organization = {PMLR},
}

Probabilistically Rewired Message-Passing Neural Networks

Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Broeck, Mathias Niepert, and Christopher Morris

2023

Bib HTML

@misc{qian2023probabilistically,
  title = {Probabilistically Rewired Message-Passing Neural Networks},
  author = {Qian, Chendi and Manolache, Andrei and Ahmed, Kareem and Zeng, Zhe and Van den Broeck, Guy and Niepert, Mathias and Morris, Christopher},
  journal = {arXiv preprint arXiv:2310.02156},
  year = {2023},
}

Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems

Chendi Qian, Didier Chételat, and Christopher Morris

In Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, 2024

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