Robotics & Machine Learning Daily News2024,Issue(Mar.20) :50-51.

Researchers from National University of Defense Technology Describe Findings in Intelligent Systems (MT $$∧2$ $ 2 AD: multilayer temporal transaction anomaly detection in ethe reum networks with GNN)

Robotics & Machine Learning Daily News2024,Issue(Mar.20) :50-51.

Researchers from National University of Defense Technology Describe Findings in Intelligent Systems (MT $$∧2$ $ 2 AD: multilayer temporal transaction anomaly detection in ethe reum networks with GNN)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in intelli gent systems. According to news reporting out of National University of Defense Technology by NewsRx editors, research stated, “In recent years, a surge of crim inal activities with cross-cryptocurrency trades have emerged in Ethereum, the s econd-largest public blockchain platform. Most of the existing anomaly detection methods utilize the traditional machine learning with feature engineering or gr aph representation learning technique to capture the information in transaction network.”

Key words

National University of Defense Technolog y/Intelligent Systems/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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