3 citations · 5 across the 8 of their papers we have counts for
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cs.LG2023
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection
Zhihao Ding, Jieming Shi, Shiqi Shen +4
Graph-level representation learning is important in a wide range of applications. Existing graph-level models are generally built on i.i.d. assumption for both training and testing…
cs.LG2023★ 1 cited
Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs
Zhihao Ding, Jieming Shi, Qing Li +1
Cryptocurrencies are rapidly expanding and becoming vital in digital financial markets. However, the rise in cryptocurrency-related illicit activities has led to significant losses…