A graph Resfusion model that starts from a feasible route and denoises it toward a shorter route achieves lower block propagation time and higher trust scores than greedy, genetic, GAT, and Difusco baselines in simulated blockchain-enabled vehicle networks.
The effects of expertise, humanness, and congruence on perceived trust, warmth, competence and intention to use embodied AI,
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Efficient and Trustworthy Block Propagation for Blockchain-enabled Mobile Embodied AI Networks: A Graph Resfusion Approach
A graph Resfusion model that starts from a feasible route and denoises it toward a shorter route achieves lower block propagation time and higher trust scores than greedy, genetic, GAT, and Difusco baselines in simulated blockchain-enabled vehicle networks.