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20222025
most citedA Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

18 citations · 29 across the 11 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.LG2023★ 1 cited

Shape-aware Graph Spectral Learning

Junjie Xu, Enyan Dai, Dongsheng Luo +2

Spectral Graph Neural Networks (GNNs) are gaining attention for their ability to surpass the limitations of message-passing GNNs. They rely on supervision from downstream tasks to…

cs.LG2023★ 3 cited

Self-Explainable Graph Neural Networks for Link Prediction

Huaisheng Zhu, Dongsheng Luo, Xianfeng Tang +3

Graph Neural Networks (GNNs) have achieved state-of-the-art performance for link prediction. However, GNNs suffer from poor interpretability, which limits their adoptions in critic…