Author

Lei Shi

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Jul 2026

MGDT: MLLM-Guided Diffusion Transformer with Relation-Adaptive Mixture-of-Experts for Multimodal Knowledge Graph Completion

MGDT is proposed, a novel MKGC framework built on an align-then-diffuse paradigm that employs a Relation-Adaptive Semantic Routing Mixture-of-Experts module to select relation-relevant multimodal semantic transformation paths and suppress irrelevant modality interference.

Xu Hou, Meiyu Liang, Wei Huang et al. · arXiv.org · 0 citations

Jul 2026

Permutation-Invariant Quantum Graph Neural Network Based on Variational Quantum Algorithms.

Results indicate that PIQGNN provides an efficient, scalable, and noise-resilient quantum framework for graph learning, highlighting its practical potential in the noisy intermediate-scale quantum (NISQ) era.

Maoduo Li, Wen Liu, Lei Shi et al. · IEEE Transactions on Neural... · 0 citations

#graph neural networks Sep 2026

Dual Graph Network Hashing for Cross-Modal Retrieval

Hashing algorithms represent data by generating compact binary hash codes, enabling efficient cross-modal similarity search and significantly improving the storage efficiency and retrieval performance of image-text data. However, because traditional hashing methods typically separate image-text feature extraction from...

Shuang Zhang, Yue Wu, Lei Shi et al. · IEEE Transactions on Knowled... · 0 citations