3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 3 cited
Learning Covariance-Based Multi-Scale Representation of Neuroimaging Measures for Alzheimer Classification
Seunghun Baek, Injun Choi, Mustafa Dere +3
Stacking excessive layers in DNN results in highly underdetermined system when training samples are limited, which is very common in medical applications. In this regard, we presen…
cs.LG2023★ 1 cited
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals
Tingting Dan, Jiaqi Ding, Ziquan Wei +4
Graph neural networks (GNNs) are widely used in domains like social networks and biological systems. However, the locality assumption of GNNs, which limits information exchange to…