Artificial Intelligence-Generated Content (AIGC) is a rapidly evolving field that utilizes advanced AI algorithms to generate content. Through integration with mobile edge networks, mobile AIGC networks have gained significant attention, which can provide real-time customized and personalized AIGC services and products. Since blockchains can facilitate decentralized and transparent data management, AIGC products can be securely managed by blockchain to avoid tampering and plagiarization. However, the evolution of blockchain-empowered mobile AIGC is still in its nascent phase, grappling with challenges such as improving information propagation efficiency to enable blockchain-empowered mobile AIGC. In this paper, we design a Graph Attention Network (GAT)-based information propagation optimization framework for blockchain-empowered mobile AIGC. We first innovatively apply age of information as a data-freshness metric to measure information propagation efficiency in public blockchains. Considering that GATs possess the excellent ability to process graph-structured data, we utilize the GAT to obtain the optimal information propagation trajectory. Numerical results demonstrate that the proposed scheme exhibits the most outstanding information propagation efficiency compared with traditional routing mechanisms.

翻译：人工智能生成内容（AIGC）是一个快速发展的领域，它利用先进的AI算法生成内容。通过与移动边缘网络的集成，移动AIGC网络受到了广泛关注，该网络能够提供实时定制化和个性化的AIGC服务与产品。由于区块链可以促进去中心化且透明的数据管理，AIGC产品可通过区块链进行安全管理，从而避免篡改和剽窃。然而，区块链赋能的移动AIGC的发展仍处于起步阶段，面临着诸如提升信息传播效率以实现其赋能等挑战。本文针对区块链赋能的移动AIGC，设计了一种基于图注意力网络（GAT）的信息传播优化框架。我们首先创新性地将信息年龄作为数据新鲜度指标，用于衡量公有区块链中的信息传播效率。考虑到GAT具备处理图结构数据的卓越能力，我们利用GAT获取最优信息传播轨迹。数值结果表明，与传统路由机制相比，所提方案展现出最优异的信息传播效率。