EP375: M2GDT solves multimodal knowledge graph completion

Title: MGDT: MLLM-Guided Diffusion Transformer with Relation-Adaptive Mixture-of-Experts for Multimodal Knowledge Graph CompletionSource: http://arxiv.org/abs/2607.15592v1Summary:This paper proposes a new architectural primitive for multimodal generative AI by combining MLLMs, Diffusion Transformers, and a Relation-Adaptive Mixture-of-Experts. This innovative architecture offers a foundational approach for integrating diverse data types and structured knowledge more effectively within generative models, particularly for complex multimodal tasks.