Dynamic Network Flow Optimization is a high-performance C++ library that implements state-of-the-art algorithms for optimizing network flows with predictive routing and real-time congestion avoidance.

Examples of big graph data in the real world include complex networks, such as social networks and the Web graph, and the map graph used to represent traffic networks. The Complex Network and Map ...

Abstract: This paper studies stability analysis using graph methods for electricity distribution networks. The spanning tree approach is used for modeling the grid in terms of graph nodes that ...

Abstract: The proliferation of IoT technologies has increased Android-based consumer electronics software, while these applications are susceptible to malware attacks. Applying network traffic for ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Let the OSS Enterprise newsletter guide your open source journey! Sign up ...

This is a Pytorch implementation of ASTGCN and MSTCGN. The pytorch version of ASTGCN released here only consists of the recent component, since the other two components have the same network ...