Neural forecasting of spatiotemporal time series drives both research and industrial innovation in several relevant application domains. Graph neural networks (GNNs) are often the core component architecture. However, most GNNs, computational complexity scales up to a quadratic factor with length sequence times number links graph, hence hindering these models large graphs long temporal sequence...

As an append-only distributed database, blockchain is utilized in a vast variety of applications including the cryptocurrency and Internet-of-Things (IoT). The existing solutions show downsides communication storage scalability, as well decentralization. In this article, we propose LightChain, which first architecture that operates over Distributed Hash Table (DHT) participating peers. LightCha...