Quanming Yao

This paper presents a new approach to enhance KGQA performance using GNNs and LLMs.

A novel approach to enhance link prediction in various graph types.

A new approach using knowledge enhances efficiency in learning from relational graphs.

HIGHT enhances language models by using hierarchical information from graph data.

A new approach enhances predictions for new items using unique interaction patterns.

UniMoT merges molecular science with language processing for enhanced analysis.

TransEQ merges structure and details for better knowledge representation.