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20182026
most citedBehavior-aware Account De-anonymization on Ethereum Interaction Graph

109 citations · 370 across the 92 of their papers we have counts for

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Showing 2022Show all

15 papers · 1 filter

cs.SI2022

Targeted k-node Collapse Problem: Towards Understanding the Robustness of Local k-core Structure

Yuqian Lv, Bo Zhou, Jinhuan Wang +1

The concept of k-core, which indicates the largest induced subgraph where each node has k or more neighbors, plays a significant role in measuring the cohesiveness and the engageme…

cs.LG2022★ 8 cited

Data Augmentation on Graphs: A Technical Survey

Jiajun Zhou, Chenxuan Xie, Shengbo Gong +4

In recent years, graph representation learning has achieved remarkable success while suffering from low-quality data problems. As a mature technology to improve data quality in com…

cs.AI2022

Discover Important Paths in the Knowledge Graph Based on Dynamic Relation Confidence

Shanqing Yu, Yijun Wu, Ran Gan +3

Most of the existing knowledge graphs are not usually complete and can be complemented by some reasoning algorithms. The reasoning method based on path features is widely used in t…

cs.LG2022★ 9 cited

GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections

Junyuan Fang, Haixian Wen, Jiajing Wu +3

Graph neural networks (GNNs) have found successful applications in various graph-related tasks. However, recent studies have shown that many GNNs are vulnerable to adversarial atta…

cs.LG2022★ 19 cited

Time-aware Metapath Feature Augmentation for Ponzi Detection in Ethereum

Chengxiang Jin, Jiajun Zhou, Jie Jin +2

With the development of Web 3.0 which emphasizes decentralization, blockchain technology ushers in its revolution and also brings numerous challenges, particularly in the field of…

cs.CR2022★ 8 cited

TSGN: Transaction Subgraph Networks Assisting Phishing Detection in Ethereum

Jinhuan Wang, Pengtao Chen, Xinyao Xu +4

Due to the decentralized and public nature of the Blockchain ecosystem, the malicious activities on the Ethereum platform impose immeasurable losses for the users. Existing phishin…