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Graph Convolutional Matrix Completion

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Graph Convolutional Matrix CompletionRianne van den BergUniversity of AmsterdamAmsterdam, The N. KipfUniversity of AmsterdamAmsterdam, The Welling University of AmsterdamAmsterdam, The consider Matrix Completion for recommender systems from thepoint of view of link prediction on graphs. Interaction data suchas movie ratings can be represented by a bipartite user-item graphwith labeled edges denoting observed ratings. This representationis especially useful in the setting where additional Graph -based sideinformation is present. Building on recent progress in deep learn-ing on Graph -structured data, we propose a Graph auto-encoderframework based on differentiable message passing on the bipar-tite interaction Graph .

The decoder model is a pairwise decoder Aˇ = д(Z), which takes pairs of node embeddings (zi,zj)and predicts entries Aˇ ... Graph Convolutional Matrix Completion KDD’18 Deep Learning Day, August 2018, London, UK.

  Decoder, Matrix, Deep, Completion, Graph, Convolutional, Graph convolutional matrix completion

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