This application uses a transition matrix to make predictions by using a Markov chain. For exemplification, the values from the transition matrix represent the transition probabilities between two ...

Ranking nodes in uncertain graph is computationally expensive when the graph is huge due to the extremely large number of possible worlds. Some approximation is needed in general. We focus on PageRank ...

A key feature of transition diagrams is that the total proportion of transitions from (arrow coming out of) any given node must equal 1. Leslie Matrices Leslie matrices are a specialised type of ...

Quick Take The Graph has transitioned to a fully decentralized data layer following the completion of The Graph Foundation’s Sunrise initiative. The transition sees subgraphs upgraded from centralized ...

The Markov Chains - Simulation framework is a Markov Chain Generator that uses probability values from a transition matrix to generate strings. At each step the new string is analyzed and the letter ...

Ranking nodes in uncertain graph is computationally expensive when the graph is huge due to the extremely large number of possible worlds. Some approximation is needed in general. We focus on PageRank ...