39 citations · 39 across the 3 of their papers we have counts for
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cs.LG2026
Rethinking One-Shot Federated Graph Learning: Training-Free Statistical Estimation
Shutong Zheng, Sijia Chen
One-shot federated graph learning generally aims to train Graph Neural Networks (GNNs) across clients with disconnected subgraphs in a single communication round. Existing methods…
cs.LG2021
Parameter Selection: Why We Should Pay More Attention to It
Jie-Jyun Liu, Tsung-Han Yang, Si-An Chen +1
The importance of parameter selection in supervised learning is well known. However, due to the many parameter combinations, an incomplete or an insufficient procedure is often app…
cs.LG2017★ 39 cited
libact: Pool-based Active Learning in Python
Yao-Yuan Yang, Shao-Chuan Lee, Yu-An Chung +3
libact is a Python package designed to make active learning easier for general users. The package not only implements several popular active learning strategies, but also features…