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This paper proposes CMF-ELN, a cross-modal fusion end-to-end learning network for cold-start drug-drug interaction prediction, using multi-modal knowledge graphs and a four-channel graph autoencoder to improve similarity modeling and interpretability.
MKGR is a multimodal framework that combines protein sequence encoding with four biomedical knowledge graphs to improve cold-start protein-protein interaction prediction, outperforming baselines on benchmark datasets.