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 ...

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

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 ...