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 ...

Graph mining and subgraph analysis encompass a suite of techniques dedicated to unearthing hidden patterns, recurring structures and relationships within complex networks. This field has rapidly ...

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 ...

Blockchain data provider Chainstack has launched a hosted service for collections of Web3 data known as “subgraphs,” according to an April 19 announcement from the company. The service, called ...

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 ...

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