IEEE

UPN-GCN: Update Positive-Negative Graph Convolution Neural Network in Non-Euclidean Structured Data

Abstract: Graph Convolutional neural Networks (GCNs) demonstrate exceptional effectiveness when working with data that have non-Euclidean structures. In recent years, numerous researchers have ...
National Bureau of Economic Research

Externalities and the Taxation of Top Earners

This paper characterizes the optimal taxation of top earners in a world with externalities. It takes a reduced-form approach that spans a broad class of models where top earners create externalities ...
IEEE

Prescribed-Time Nash Equilibrium Seeking for Pursuit–Evasion Game Under Intermittent Control With Undirected/Directed Graph

Abstract: This article studies the prescribed-time Nash equilibrium (PTNE) seeking problem of the pursuit–evasion game (PEG) with second-order dynamics under the intermittent control (IC) strategy. To ...
Frontiers

KG2ML: Integrating Knowledge Graphs and Positive Unlabeled Learning for Identifying Disease-Associated Genes

The final, formatted version of the article will be published soon. Background Biomedical knowledge graphs (KGs), such as the Data Distillery Knowledge Graph (DDKG), capture known relationships among ...