most citedNode-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach

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cs.LG2024★ 1 cited

Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective

Shenglai Zeng, Jiankun Zhang, Bingheng Li +8

Retrieval-Augmented Generation (RAG) systems have shown promise in enhancing the performance of Large Language Models (LLMs). However, these systems face challenges in effectively…

cs.LG2024★ 1 cited

Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach

Haoyu Han, Juanhui Li, Wei Huang +5

Graph Neural Networks (GNNs) have proven to be highly effective for node classification tasks across diverse graph structural patterns. Traditionally, GNNs employ a uniform global…