Han Xuanyuan - Google Scholar

Get my own profile

Cited by

	All	Since 2019
Citations	16	16
h-index	1	1
i10-index	1	1

0

10

5

2022202320242 9 5

Co-authors

Pietro BarbieroUniversity of CambridgeVerified email at cam.ac.uk
Dobrik GeorgievUniversity of CambridgeVerified email at cam.ac.uk
Stephen CumminsUniversity of CambridgeVerified email at cam.ac.uk
Francisco VargasUniversity of CambridgeVerified email at cam.ac.uk

Han Xuanyuan

Han Xuanyuan

University of Cambridge

Verified email at cam.ac.uk

Machine Learning Graph Neural Networks Interpretability


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis H Xuanyuan, P Barbiero, D Georgiev, LC Magister, P Lió Proceedings of the AAAI Conference on Artificial Intelligence 37, 10675-10683, 2023	16*	2023
Shedding Light on Random Dropping and Oversmoothing H Xuanyuan, T Zhao, D Luo NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023		2023
Efficient Privacy-Preserving Inference for Convolutional Neural Networks H Xuanyuan, F Vargas, S Cummins ICLR 2022 Workshop on PAIR^2Struct: Privacy, Accountability …, 2022		2022

The system can't perform the operation now. Try again later.

Articles 1–3