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Found 2 papers, 1 papers with code
Large Language Models for Next Point-of-Interest Recommendation
Our results show that the proposed framework outperforms the state-of-the-art models in all three datasets.
Explainability in Graph Neural Networks: An Experimental Survey
Graph neural networks (GNNs) have been extensively developed for graph representation learning in various application domains.
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