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cs.LG2019
Graph Domain Adaptation with Localized Graph Signal Representations
Yusuf Yigit Pilavci, Eylem Tugce Guneyi, Cemil Cengiz +1
In this paper we propose a domain adaptation algorithm designed for graph domains. Given a source graph with many labeled nodes and a target graph with few or no labeled nodes, we…
cs.LG2019★ 1 cited
Spectral Graph Wavelet Transform as Feature Extractor for Machine Learning in Neuroimaging
Yusuf Pilavci, Nicolas Farrugia
Graph Signal Processing has become a very useful framework for signal operations and representations defined on irregular domains. Exploiting transformations that are defined on gr…