Web: http://arxiv.org/abs/2206.10142

June 24, 2022, 1:11 a.m. | Jinsong Chen, Boyu Li, Qiuting He, Kun He

cs.LG updates on arXiv.org arxiv.org

Node classification on attributed networks is a semi-supervised task that is
crucial for network analysis. By decoupling two critical operations in Graph
Convolutional Networks (GCNs), namely feature transformation and neighborhood
aggregation, some recent works of decoupled GCNs could support the information
to propagate deeper and achieve advanced performance. However, they follow the
traditional structure-aware propagation strategy of GCNs, making it hard to
capture the attribute correlation of nodes and sensitive to the structure noise
described by edges whose two endpoints …

arxiv classification lg networks node on training

More from arxiv.org / cs.LG updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY