敏捷
发表于 2025-3-23 09:53:26
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myocardium
发表于 2025-3-23 14:11:26
Transaction Tracking Based on Personalized PageRank Algorithmn the blockchain and to recover stolen funds from vast transaction data. We model blockchain transaction records as transaction graphs and view blockchain transaction tracking as a graph search task. To achieve efficient and effective tracking of fund transfers in transaction graphs, we propose an s
广口瓶
发表于 2025-3-23 21:50:42
J. Scott Weese DVM, DVSC, DIPACVIMion data. These transaction records include rich information and complete traces of financial activities, and therefore provide us an unprecedented opportunity for knowledge discovery. Networks are a universal language for describing interacting real systems, and much work on cryptocurrency transact
Diastole
发表于 2025-3-24 00:53:33
Shushma Chaturvedi,Joseph R. Bertinoploration of dynamic and micro-level account characteristics. Therefore, we have conducted pioneering work in this chapter to delve into these aspects of various account types on Ethereum, such as exchanges and phishing entities. Our research involves describing and comparing the trading dynamics of
易于出错
发表于 2025-3-24 02:51:38
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牛马之尿
发表于 2025-3-24 08:26:32
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出没
发表于 2025-3-24 12:06:30
Reconciling the Past and the Presentsed serious losses. Therefore, it is necessary to classify Ethereum accounts in order to better identify those involved in illegal transactions and analyze the behavior patterns of different classes of accounts. In this chapter, we construct an Ethereum transaction network based on transaction recor
incisive
发表于 2025-3-24 15:03:23
https://doi.org/10.1007/978-1-349-62271-9ublic transaction records on the blockchain as a graph, and then identify phishing addresses through manual feature extraction or graph learning frameworks. Meanwhile, these methods model transactions within a period as a static network for analysis. Therefore, these methods lack the ability to capt
AMEND
发表于 2025-3-24 22:51:56
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NAV
发表于 2025-3-25 02:26:06
An Abductive Theory of Scientific Method,n the blockchain and to recover stolen funds from vast transaction data. We model blockchain transaction records as transaction graphs and view blockchain transaction tracking as a graph search task. To achieve efficient and effective tracking of fund transfers in transaction graphs, we propose an s