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This paper proposes M-Hyper, a novel multi-modal knowledge graph completion method that balances fusion and independence of modality representations using hypercomplex (biquaternion) algebra. The approach introduces Fine-grained Entity Representation Factorization and Robust Relation-aware Modality Fusion modules to achieve state-of-the-art performance with improved robustness.