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Fifteenth ACM Conference on Recommender Systems
Graph neural networks (GNNs) have recently gained significant momentum in the recommendation community, demonstrating state-of-the-art performance in top-k recommendation and next-item recommendation. Despite promising results on GNN-based recommendation and search, most of the current GNN research remains essentially concentrated on more traditional tasks such as classification or regression. The GReS workshop on Graph Neural Networks for Recommendation and Search is then a first endeavor todoi:10.1145/3460231.3470937 fatcat:i4ixqrqmwbfxdlukairprjg3ni