Hyper-MDR: An open-world multimodal reasoning framework based on dynamic hypergraph and meta-strategy optimization. [PDF]
Shi J, Huang X, Yuan L.
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A spatiotemporal hypergraph self-attention neural networks framework for the identification and pharmacological efficacy assessment of Parkinson's disease motor symptoms. [PDF]
An X +7 more
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Clinician-deployable deep hypergraph model integrating clinical and CT radiomics predicts immunotherapy outcomes in NSCLC. [PDF]
Song J +19 more
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Hypergraph Semi-Supervised Contrastive Learning for Hyperedge Prediction Based on Enhanced Attention Aggregator. [PDF]
Xie H, Song C, Shao H, Wang L.
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Leveraging unified multi-view hypergraph learning for neurodevelopmental disorders diagnosis. [PDF]
Han X, Li J.
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DGHNN: a deep graph and hypergraph neural network for pan-cancer related gene prediction. [PDF]
Li B, Xiao X, Zhang C, Xiao M, Zhang L.
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Root-associated protein prediction using a protein large language model and hypergraph convolutional networks. [PDF]
Chen L, Xun X, Zhou B.
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ML-driven latency optimization for mobile edge computing in fiber-wireless access networks. [PDF]
Marmat A, Thankachan D.
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A CSGNN model-based method for essential protein identification. [PDF]
Li Z, Yu Z, Li P.
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DHCLHAM: microbe-drug interaction prediction based on dual-hypergraph contrastive learning framework with hierarchical attention mechanism. [PDF]
Hu H, Nie C.
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