most citedIdentity Inference on Blockchain using Graph Neural Network

56 citations · 124 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2021★ 2 cited

BlockGC: A Joint Learning Framework for Account Identity Inference on Blockchain with Graph Contrast

Jiajun Zhou, Chenkai Hu, Shenbo Gong +3

Blockchain technology has the characteristics of decentralization, traceability and tamper proof, which creates a reliable decentralized transaction mode, further accelerating the…

cs.CR2021★ 3 cited

Ponzi Scheme Detection in EthereumTransaction Network

Shanqing Yu, Jie Jin, Yunyi Xie +2

With the rapid growth of blockchain, an increasing number of users have been attracted and many implementations have been refreshed in different fields. Especially in the cryptocur…

cs.SI2021★ 56 cited

Identity Inference on Blockchain using Graph Neural Network

Jie Shen, Jiajun Zhou, Yunyi Xie +2

The anonymity of blockchain has accelerated the growth of illegal activities and criminal behaviors on cryptocurrency platforms. Although decentralization is one of the typical cha…

cs.SI2020★ 31 cited

Data Augmentation for Graph Classification

Jiajun Zhou, Jie Shen, Qi Xuan

Graph classification, which aims to identify the category labels of graphs, plays a significant role in drug classification, toxicity detection, protein analysis etc. However, the…

cs.LG2020★ 32 cited

M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification

Jiajun Zhou, Jie Shen, Shanqing Yu +2

Graph classification, which aims to identify the category labels of graphs, plays a significant role in drug classification, toxicity detection, protein analysis etc. However, the…