作者位次 #5/5ICLR 2026Poster· Deep Learning / Graph Neural Networks
Temporal Graph Thumbnail: Robust Representation Learning with Global Evolutionary Skeleton
Weining Shi · Zhisen Wen · Qinggang Zhang · Chentao Zhang · Zhihong Zhang
可解释性OpenReview
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Weining Shi · Zhisen Wen · Qinggang Zhang · Chentao Zhang · Zhihong Zhang
Zerui Chen · Qinggang Zhang · Zhishang Xiang · Zhimin Wei · Linfeng Gao · Xiao Huang · Zhihong Zhang · Jinsong Su
Graph-based Retrieval-Augmented Generation (GraphRAG) advances flat document retrieval by structuring knowledge as relational graphs, enabling more coherent and effective reasoning. However, applying it to specific domains like legal reasoning faces critical challenges. (i) Legal corpora are hete...
Jiangbing Mao · Tianke Xiang · Yantong Zhu · Wenliang Liu · Qinggang Zhang · Zhihong Zhang
\begin{abstract}Retrieval-Augmented Generation (RAG) is a promising paradigm for domain-specific knowledge integration. However, applying generic RAG frameworks to power grid operation and maintenance (O\&M) faces critical challenges due to the strict physical constraints of electrical networks....