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Anhui University
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LLMs can hallucinate enough signal to make cross-domain recommendations work even when users have no overlapping history.
End-to-end attributed hypergraph clustering via contrastive learning achieves state-of-the-art results by jointly optimizing node embeddings and cluster assignments.
