Compressed data technique enables pangenomics at scale

Engineers at the University of California have developed a new data structure and compression technique that enables the ...
IEEE

Topological Data Analysis in Graph Neural Networks: Surveys and Perspectives

Abstract: For many years, topological data analysis (TDA) and deep learning (DL) have been considered separate data analysis and representation learning approaches, which have nothing in common. The ...
EurekAlert!

A federated anti-forgetting representation method based on hybrid model architecture and gradient truncation

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...
IEEE

Dynamic Graph Regularized Broad Learning With Marginal Fisher Representation for Noisy Data Classification

Abstract: Broad learning system (BLS) is an effective neural network requiring no deep architecture, however it is somehow fragile to noisy data. The previous robust broad models directly map features ...