controlled experiments 1explicit routing 1graph-text retrieval 1molecular property prediction 1multi-view learning 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
When Does Explicit View Routing Work? A Controlled Study of Multi-View Graph-Text Alignment
Xiao Yue, Guangzhi Qu
The paper conducts controlled experiments on multi‑view graph‑text alignment to determine when explicit view routing improves retrieval of graph labels and molecular properties, sh…
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…