Local Vertex Colouring
Local Vertex Colouring Live Demo
About me
I am a final-year Ph.D. student in the Graph Research Lab of ANU, led by A/Prof Qing Wang and Prof. Brendan McKay. I am also supervised by Dr. Dongwoo Kim from POSTECH.
My research interests center around two main topics: (1) studying the foundations of geometric deep learning, especially the expressivity, generalization and optimization of graph machine learning; (2) Exploring the novel connections between between mathematical theories (e.g. graph theory) and machine learning to help designing more robust, powerful, and explainable models.
In addition to my academic pursuits, I hold the position of Senior Software Engineer at Data61@CSIRO. Prior to commencing my PhD, I had the luck to work with the StellarGraph team, where I contributed to various projects including the open-source graph machine learning libary.
With extensive industry experience in software engineering, I have also worked across diverse domains such as data analysis, video/image processing, and medical care.
Recent Publications
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ICML 2023, Local Vertex Colouring Graph Neural Networks, Shouheng Li, Dongwoo Kim and Qing Wang paper, live demo, slides, poster, code
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ICLR 2023, N-WL: A New Hierarchy of Expressivity for Graph Neural Networks, Qing Wang, Dillon Chen, Asiri Wijesinghe, Shouheng Li, Muhammad Farhan paper, slides, poster, code
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AAAI 2023, Restructuring Graphs for Higher Homophily via Adaptive Spectral Clustering, (oral), Shouheng Li, and Dongwoo Kim and Qing Wang paper, slides, poster, code
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ECML-PKDD 2021, Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs, Shouheng Li, Dongwoo Kim, and Qing Wang paper, slides, poster, code