Densest subgraph discovery algorithms form a vital field of research within graph theory and data mining, aiming to identify highly interconnected subsets within larger networks. These methods extend ...

Node colors represent different characteristics, with white showing extraneous (unnecessary) nodes. In the conventional method, these extraneous nodes affect necessary ones, leading to incorrect ...

SHENZHEN, China, March 17, 2025 /PRNewswire/ -- MicroAlgo Inc. (NASDAQ: MLGO), (the "Company"or "MicroAlgo"), today announced the introduction of an innovative solution: a multi-simulator ...

Recently, a research team from the Rudolf Technology Center in Slovenia proposed a new method to optimize the sparse subgraph problem, which has wide applications in fields such as network analysis ...

The Δ-Motif algorithm leverages open-source libraries such as Pandas and Numpy, and achieves parallel processing on GPUs through NVIDIA's RAPIDS. According to benchmark tests, the algorithm's speed is ...