This is an event-driven asynchronous component model developed in Python. This library can be used to design and implement component-based ad hoc and distributed computing models and algorithms.
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Updated
Apr 30, 2024 - Python
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ad-hoc-networks
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Shortest Path Biased Backpressure Routing Using Link Features and Graph Neural Networks
routing backpressure graph-neural-networks wireless-networks ad-hoc-networks graph-based-machine-learning multihop-wireless-networks shortest-path-routing
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Sep 22, 2024 - Jupyter Notebook
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