3 papers
cs.LG2026
When Does Explicit View Routing Work? A Controlled Study of Multi-View Graph-Text Alignment
Xiao Yue, Guangzhi Qu
Graph-text retrieval typically maps a graph and its description to a single embedding, even when a query concerns only one semantic aspect, such as a class label or molecular prope…
cs.IR2026
LiteSemRAG: Lightweight LLM-Free Semantic-Aware Graph Retrieval for Robust RAG
Xiao Yue, Guangzhi Qu, Lige Gan
Graph-based Retrieval-Augmented Generation (RAG) has shown great potential for improving multi-level reasoning and structured evidence aggregation. However, existing graph-based RA…
cs.LG2025
GIN-Graph: A Generative Interpretation Network for Model-Level Explanation of Graph Neural Networks
Xiao Yue, Guangzhi Qu, Lige Gan
One significant challenge of exploiting Graph neural networks (GNNs) in real-life scenarios is that they are always treated as black boxes, therefore leading to the requirement of…