activity
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

collaborators
Showing cs.SIShow all

1 paper · 1 filter

cs.SI2024★ 1 cited

HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training

Fali Wang, Tianxiang Zhao, Junjie Xu +1

Graph self-training (GST), which selects and assigns pseudo-labels to unlabeled nodes, is popular for tackling label sparsity in graphs. However, recent study on homophily graphs s…