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cs.LG2025
From Selection to Generation: A Survey of LLM-based Active Learning
Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie +31
Active Learning (AL) has been a powerful paradigm for improving model efficiency and performance by selecting the most informative data points for labeling and training. In recent…
cs.LG2022★ 4 cited
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings
Ryan Aponte, Ryan A. Rossi, Shunan Guo +6
In this work, we introduce a hypergraph representation learning framework called Hypergraph Neural Networks (HNN) that jointly learns hyperedge embeddings along with a set of hyper…