A Graph Neural Network Framework for Social Recommendations

IEEE Transactions on Knowledge and Data Engineering, pp. 1-1, 2020.

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Abstract:

Nowadays, most data about social networks, users shopping behaviors, and inter-item relationships etc., can be represented as graph structure. Graph Neural Networks (GNNs) have shown great success in learning meaningful representations for graph data by naturally integrating node information and topological structures. Data used in making...More

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