Abstract: Graph Convolutional Networks (GCNs) have emerged as a leading approach for semi-supervised node classification. However, due to the uneven distribution of labeled nodes in graphs, only a ...
Abstract: Graph neural networks (GNNs) are widely utilized in recommender systems because they can produce effective embeddings by incorporating high-order collaborative information from neighbors.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results