IEEE

A Novel Layer Pruning Method Based on Graph Structure of Feature Representations for Specific Emitter Identification

Abstract: As an emerging method for physical layer security authentication, Specific Emitter Identification (SEI) plays a pivotal role in wireless communication network security. Leveraging its strong ...
EurekAlert!

Chongqing Medical University team: dual-branch graph attention network enables personalized prediction of ECT efficacy in adolescent depression

Major Depressive Disorder (MDD) is a leading cause of disability among adolescents, yet the efficacy of Electroconvulsive ...
EurekAlert!

Learning from Shortcut: A Shortcut-guided approach for explainable graph learning

SGR turns adversarial shortcuts into teachers, isolating invariant subgraph rationales and delivering the first XGL framework ...
FinanceFeeds

How Governments Use Blockchain Analytics to Trace Crypto Transactions

Discover how governments employ blockchain analytics to monitor and trace cryptocurrency transactions, enhancing transparency ...
Frontiers

User recommendation method integrating hierarchical graph attention network with multimodal knowledge graph

1 Business College, California State University, Long Beach, CA, United States 2 School of Business and Management, Shanghai International Studies University, Shanghai, China In common graph neural ...
IEEE

An Integrated Positioning Method Based on Weighted Factor Graph Optimization

Abstract: The intelligent transportation system requires positioning services to ensure safe driving applications. The fusion positioning method of GNSS and inertial navigation system (INS) provides ...
marktechpost

CLDG: A Simple Machine Learning Framework that Sets New Benchmarks in Unsupervised Learning on Dynamic Graphs

Graph Neural Networks have emerged as a transformative force in many real-life applications, from corporate finance risk management to local traffic prediction. Thereby, there is no gainsaying that ...