Abstract: Large-scale graph processing and Stream processing are two distinct computational paradigms for big data processing. Graph processing deals with computation on graphs of billions of vertices ...

Abstract: Finding important edges in a graph is a crucial problem for various research fields, such as network epidemics, signal processing, machine learning, and sensor networks. In this paper, we ...

1 Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, Republic of Korea 2 Department of Systems Management Engineering, Sungkyunkwan University, Suwon, Republic of Korea ...

A lightweight, extensible workflow engine built using FastAPI. This backend allows you to define graphs of processing nodes, execute them as workflows, log every step, and retrieve the results via ...

A research team from the Songshan Lake Materials Laboratory has developed an AI-guided "Recommendation System" to discover new metallic glasses (MG). By combining element embeddings learned from ...