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GuanchengWan/README.md

Hi 👋

I'm SuHui, currently an undergraduate student at the School of Computer Science, Wuhan University (WHU), China.

🔎 Research

"All things are interconnected, this is the essence of nature."

I am enthusiastic about modeling the relationship of these connections, particularly focusing on geometric data. Currently, my research interests revolve around three primary areas:

a) AI for Science:

  • Biotechnology (e.g., Genomics)

  • Public Health (e.g., Epidemiology)

  • Physics (e.g., Neural ODE, PINN)

b) TrustWorthy Graph Learning

c) Self-supervised Graph Learning

🪐Devices

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  1. WenkeHuang/MarsFL WenkeHuang/MarsFL Public

    TPAMI 2024 - Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark

    Python 80 4

  2. Emory-Melody/EpiLearn Emory-Melody/EpiLearn Public

    A Python Library for Machine Learning in Epidemic Data Modeling and Analysis

    Python 33 5

  3. S3GCL S3GCL Public

    [ICML 2024] S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning

    5 1

  4. FedSSP FedSSP Public

    Forked from OakleyTan/FedSSP

    [NeurIPS24] of FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference

    Python

  5. FGGP FGGP Public

    [AAAI 2024] Federated Graph Learning under Domain Shift with Generalizable Prototypes

    Python 3

  6. FGSSL FGSSL Public

    [IJCAI 2023] Federated Graph Semantic and Structural Learning

    Python 1