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Variational adversarial negative sampling for multimodal knowledge graph completion
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AI
DOI：10.1016/j.engappai.2025.112608.png)
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Abstract
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• We propose an efficient training framework, VAN, for multimodal knowledge graph completion. • We introduce a multimodal fusion method, DCAF, specifically designed to effectively capture and integrate information from knowledge graph triples. • Our method, VansKG, achieves state-of-the-art performance on three benchmark datasets.
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