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htmoges/README.md

Hi there ๐Ÿ‘‹

I am Henok a Research Fellow in AI Systems
University of Cape Town

๐Ÿ”ฌ AI for Dynamical Systems | STGNNs | Physics-informed ML


Researcher in AI for dynamical systems, working at the intersection of machine learning, numerical analysis, and nonlinear dynamics.

My work focuses on spatio-temporal graph neural networks (STGNNs), physics-informed models, and scientific machine learning for predictive modelling of complex systems. I study how learning architectures interact with nonlinear instability, with emphasis on predictability horizons, stability and chaotic dynamics in high-dimensional systems.


Selected Work

  • Lite-STGNN
    Efficient spatio-temporal GNNs for long-term time series forecasting
    https://github.com/HTMoges/Lite-STGNN

  • ChaosBench
    Benchmarking forecasting models under chaotic dynamical systems


Links

Popular repositories Loading

  1. Lite-STGNN Lite-STGNN Public

    Official PyTorch implementation of Lite-STGNN

    Python 5 1

  2. htmoges.github.io htmoges.github.io Public

    HTML

  3. htmoges htmoges Public

  4. ChaosNetBench ChaosNetBench Public

    Python