Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
national conference on artificial intelligence, 2020.
Graph Convolutional Networks (GCNs) are state-of-the-art graph based representation learning models by iteratively stacking multiple layers of convolution aggregation operations and non-linear activation operations. Recently, in Collaborative Filtering (CF) based Recommender Systems (RS), by treating the user-item interaction behavior a...More
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