Abstract: Highlights•We present an aggregation technique for building compact graphs for recommendation.•We present an algorithm for ranking nodes for recommendation.•Node and edge aggregation can significantly reduce the graph size.•Using a compact graph for recommendation does not sacrifice much accuracy.
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