Abstract: Gene regulatory network (GRN) inference is essential for understanding gene interactions that control biological functions and disease progression. Its goal is to uncover regulatory ...
Abstract: In this letter, we propose a fully trainable graph neural network (GNN) decoder for short polar codes, underpinned by a novel graph attention network (GAT)-aided message-passing (GAT-MP) ...
Random graphs provide a mathematical framework for modelling networks in which connections between nodes occur with prescribed probabilities. Classical models such as the Erdős–Rényi graph establish ...
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