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GNN4FR: A Lossless GNN-based Federated Recommendation Framework
Graph neural networks (GNNs) have gained wide popularity in recommender systems due to their capability to capture higher-order structure information among the nodes of users and items.
The Power of Fragmentation: A Hierarchical Transformer Model for Structural Segmentation in Symbolic Music Generation
Our model is evaluated on two open MIDI datasets, and experiments show that our model outperforms the best contemporary music generative models.
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