IEEE

Semi-Supervised SAR Image Change Detection via Structure-Optimized Complex-Valued Graph Contrastive Learning

Abstract: Significant progress has been achieved by using the graph convolutional network (GCN) in image change detection. However, the limited quantity of labeled data and the inherent speckle noise ...
GitHub

DeepGFT: identifying spatial domains in spatial transcriptomics of complex and 3D tissue using deep learning and graph Fourier transform

DeepGFT requires python version >= 3.7. We tested it in python 3.8.16 and cuda 11.6.1 on Linux. pip install torch==1.12.0+cu116 torchvision==0.13.0+cu116 torchaudio ...
IEEE

Extending Graph-Based LP Techniques for Enhanced Insights Into Complex Hypergraph Networks

Abstract: Many real-world problems can be modelled in the form of complex networks. Social networks such as research collaboration networks and facebook, biological neural networks such as human ...
The New York Times

3 Theories of What’s Going On With the Contradictory Economic Data

Mr. Furman, a contributing Opinion writer, was the chairman of the White House Council of Economic Advisers from 2013 to 2017. Economic data never tells a perfectly clear story, but lately the ...