Handling Low Homophily in Recommender Systems With Partitioned Graph Transformer
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DOI: 10.1109/tkde.2024.3485880
Abstract: Modern recommender systems derive predictions from an interaction graph that links users and items. To this end, many of today's state-of-the-art systems use graph neural networks (GNNs) to learn effective representations of these graphs under… read more here.
Keywords: homophily recommender; partitioned graph; recommender systems; graph transformer ... See more keywords