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cs.LG2024★ 1 cited
Efficient and Robust Continual Graph Learning for Graph Classification in Biology
Ding Zhang, Jane Downer, Can Chen +1
Graph classification is essential for understanding complex biological systems, where molecular structures and interactions are naturally represented as graphs. Traditional graph n…
eess.SY2024
Data-driven Analysis of T-Product-based Dynamical Systems
Xin Mao, Anqi Dong, Ziqin He +2
A wide variety of data can be represented using third-order tensors, spanning applications in chemometrics, psychometrics, and image processing. However, traditional data-driven fr…
cs.LG2024
Purification Of Contaminated Convolutional Neural Networks Via Robust Recovery: An Approach with Theoretical Guarantee in One-Hidden-Layer Case
Hanxiao Lu, Zeyu Huang, Ren Wang
Convolutional neural networks (CNNs), one of the key architectures of deep learning models, have achieved superior performance on many machine learning tasks such as image classifi…