Semi-Supervised Learning With Graphs William Cohen.

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Semi-Supervised Learning With Graphs William Cohen 1.

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Presentation transcript:

Semi-Supervised Learning With Graphs William Cohen

Section outline: SSL and Graphs PageRank - how to scale it RWR/Personalized PageRank – approximate Personalized PageRank plus a “sweep” - extract a subcommunity in a graph, for sampling purposes – RWR for SSL classification of network data MultiRankWalk method “Harmonic field”/wvRN/Co-EM baseline – Modified Adsorption and SSL SSL on graphs as an optimization problem – Unsupervised learning on graphs – Learning on graphs for non-graph datasets unsupervised and semi-supervised

MODIFIED ADSORPTION

More on SSL on graphs from Partha Talukdar

How to do this minimization? First, differentiate to find min is at Jacobi method: To solve Ax=b for x Iterate: … or:

Graph: connect each document to its K nearest neighbors