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.
Graph attention network-based block propagation with optimal AoB and reputation in Web 3.0,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
baseline 1
citation-polarity summary
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1roles
baseline 1polarities
baseline 1representative citing papers
citing papers explorer
-
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.