ICLR2025
Beyond Random Masking: When Dropout meets Graph Convolutional Networks
Yuankai Luo, Xiao-Ming Wu, Hao Zhu
Abstract
ICLR 2025 Motivation • Dropout is widely used in deep learning. • In GCNs, its mechanism and effect are still unclear. How significant is the role of it? • Does it prevent co-adaptation like in MLPs?