IEEE

Semi-Supervised Building Damage Assessment in Polarimetric SAR Imagery via a Graph-Enhanced Network

Abstract: Polarimetric Synthetic Aperture Radar (PolSAR) holds significant potential for post-disaster building damage assessment. However, conventional methods often rely on simple change indices ...
Scientific Research Publishing

Kipf, T. and Welling, M. (2016) Semi-Supervised Classification with Graph Convolutional Networks. arXiv: 1609.02907.

ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...
Scientific Research Publishing

Kipf, T.N. and Welling, M. (2016) Semi-Supervised Classification with Graph Convolutional Networks. arXiv: 1609.02907.

ABSTRACT: The rapid advancements in large language models (LLMs) have led to an exponential increase in survey papers, making it challenging to systematically track and analyze their evolving taxonomy ...
IEEE

Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data

Abstract: Graph-based semi-supervised learning has been shown to be one of the most effective classification approaches, as it can exploit connectivity patterns between labeled and unlabeled samples ...