activity
20202022
most citedData Augmentation for Graph Classification

31 citations · 37 across the 7 of their papers we have counts for

collaborators

8 papers

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.CL2022

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…

q-fin.ST2022

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…

cs.CR2022

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…

cs.SI20223 cited

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…

cs.SI20213 cited

Sampling Subgraph Network with Application to Graph Classification

Jinhuan Wang, Pengtao Chen, Bin Ma +4

Graphs are naturally used to describe the structures of various real-world systems in biology, society, computer science etc., where subgraphs or motifs as basic blocks play an imp…