Hongda Li
1 indexed paper
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126
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Crypto×1
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2026
Phishing Detection in Ethereum via Temporal Graph Contrastive Learning
The paper introduces PhishEye, a fully dynamic self-supervised system that models Ethereum transactions as a heterogeneous temporal attributed multi-graph and uses temporal graph contrastive learning to achieve high accuracy in detecting phishing activities.
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