The paper describes the conventional matrix methods and proposes the structural matrix for the algorithm graph representation. The flow of the structural matrix design and its application for the ...

Graph theory is a powerful mathematical tool recently introduced in neuroscience field for quantitatively describing the main properties of investigated connectivity networks. Despite the technical ...

As summer winds down, many of us in continental Europe are heading back north. The long return journeys from the beaches of ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

Microsoft has teamed up with Barclays on a novel approach to tackling artificial intelligence (AI) and optimisation problems ...

Infinigraph is a new distributed graph architecture that allows Neo4j’s database to run operational and analytical workloads ...

Luis A. Escobar, William Q. Meeker, Jr, Algorithm AS 292: Fisher Information Matrix for the Extreme Value, Normal and Logistic Distributions and Censored Data, Journal of the Royal Statistical Society ...