Stochastic block models (SBMs) serve as a fundamental probabilistic framework for generating and analysing network data with inherent community or modular structure. In these models, nodes are ...

Anyone who's ever tried to build distributed applications (dApps) on the (Ethereum) blockchain would concur: Although blockchains are conceptually quite close to databases, querying databases feels ...

A block-structured model for the reconstruction of directed and weighted financial networks spanning multiple countries is developed. In a first step, link probability matrixes are derived via a ...

If open source is the new normal in enterprise software, then that certainly holds for databases, too. In that line of thinking, Github is where it all happens. So to have been favorited 10.000 times ...

Graph machine learning (or graph model), represented by graph neural networks, employs machine learning (especially deep learning) to graph data and is an important research direction in the ...

Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...