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cs.LG2023
Structural Explanations for Graph Neural Networks using HSIC
Ayato Toyokuni, Makoto Yamada
Graph neural networks (GNNs) are a type of neural model that tackle graphical tasks in an end-to-end manner. Recently, GNNs have been receiving increased attention in machine learn…
cs.LG2022★ 3 cited
Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data
Yuki Takezawa, Han Bao, Kenta Niwa +2
SGD with momentum is one of the key components for improving the performance of neural networks. For decentralized learning, a straightforward approach using momentum is Distribute…