109 citations · 339 across the 38 of their papers we have counts for
9 papers · 1 filter
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…
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…
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…
Dual-channel Early Warning Framework for Ethereum Ponzi Schemes
Jie Jin, Jiajun Zhou, Chengxiang Jin +3
Blockchain technology supports the generation and record of transactions, and maintains the fairness and openness of the cryptocurrency system. However, many fraudsters utilize sma…
SubGraph Networks based Entity Alignment for Cross-lingual Knowledge Graph
Shanqing Yu, Shihan Zhang, Jianlin Zhang +4
Entity alignment is the task of finding entities representing the same real-world object in two knowledge graphs(KGs). Cross-lingual knowledge graph entity alignment aims to discov…
Cross Cryptocurrency Relationship Mining for Bitcoin Price Prediction
Panpan Li, Shengbo Gong, Shaocong Xu +3
Blockchain finance has become a part of the world financial system, most typically manifested in the attention to the price of Bitcoin. However, a great deal of work is still limit…
Heterogeneous Feature Augmentation for Ponzi Detection in Ethereum
Chengxiang Jin, Jie Jin, Jiajun Zhou +2
While blockchain technology triggers new industrial and technological revolutions, it also brings new challenges. Recently, a large number of new scams with a "blockchain" sock-pup…
Phishing Fraud Detection on Ethereum using Graph Neural Network
Panpan Li, Yunyi Xie, Xinyao Xu +2
Blockchain has widespread applications in the financial field but has also attracted increasing cybercrimes. Recently, phishing fraud has emerged as a major threat to blockchain se…
Behavior-aware Account De-anonymization on Ethereum Interaction Graph
Jiajun Zhou, Chenkai Hu, Jianlei Chi +3
Blockchain technology has the characteristics of decentralization, traceability and tamper-proof, which creates a reliable decentralized trust mechanism, further accelerating the d…