most citedImproved Aggregating and Accelerating Training Methods for Spatial Graph Neural Networks on Fraud Detection

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 2 cited

Improved Aggregating and Accelerating Training Methods for Spatial Graph Neural Networks on Fraud Detection

Yufan Zeng, Jiashan Tang

Graph neural networks (GNNs) have been widely applied to numerous fields. A recent work which combines layered structure and residual connection proposes an improved deep architect…

math.PR2020

Approximations for a Queueing Game Model with Join-the-Shortest-Queue Strategy

Qihui Bu, Liwei Liu, Jiashan Tang +1

This paper investigates a partially observable queueing system with nodes in which each node has a dedicated arrival stream. There is an extra arrival stream to balance the loa…