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2 results for “knowledge graph completion”
SPIN Processed News Frame: The Hype
MGDT: MLLM-Guided Diffusion Transformer with Relation-Adaptive Mixture-of-Experts for Multimodal Knowledge Graph Completion
A new AI research paper introduces MGDT, a multimodal knowledge graph completion framework that uses an MLLM-guided diffusion transformer with relation-adaptive MoE to improve inference accuracy by separating semantic alignment from denoising.
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arXiv Artificial Intelligence
Jul 20, 2026
SPIN Processed News Frame: The Hype
Conditional Diffusion Guided Knowledge Transfer for Multi-Domain Knowledge Graph Completion
A new AI research paper proposes DMKGC, a diffusion-model-based framework for multi-domain knowledge graph completion that improves prediction accuracy by 4.3% MRR over prior methods while preserving domain-specific entity information.
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arXiv Computation and Language
Jul 8, 2026