T-EDGE: Temporal WEighted MultiDiGraph Embedding for Ethereum Transaction Network Analysis
Recently, graph embedding techniques have been widely used in the analysis of various networks, but most of the existing embedding methods omit the network dynamics and the multiplicity of edges, so it is difficult to accurately describe the detailed characteristics of the transaction networks. Ethe...
Main Authors: | Dan Lin, Jiajing Wu, Qi Yuan, Zibin Zheng |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-06-01
|
Series: | Frontiers in Physics |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fphy.2020.00204/full |
Similar Items
-
Phishing Node Detection in Ethereum Transaction Network Using Graph Convolutional Networks
by: Zhen Zhang, et al.
Published: (2023-05-01) -
Robust clustering of Ethereum transactions using time leakage from fixed nodes
by: Congcong Yu, et al.
Published: (2023-03-01) -
Atomic Crosschain Transactions for Ethereum Private Sidechains
by: Peter Robinson, et al.
Published: (2022-03-01) -
Graph Embedding-Based Money Laundering Detection for Ethereum
by: Jiayi Liu, et al.
Published: (2023-07-01) -
Abnormal Transactions Detection in the Ethereum Network Using Semi-Supervised Generative Adversarial Networks
by: Yousef K. Sanjalawe, et al.
Published: (2023-01-01)