activity
20182025
most citedUncovering Insurance Fraud Conspiracy with Network Learning

49 citations · 228 across the 27 of their papers we have counts for

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5 papers · 1 filter

cs.SI2021★ 2 cited

LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign

Tianchi Cai, Daxi Cheng, Chen Liang +6

A lot of online marketing campaigns aim to promote user interaction. The average treatment effect (ATE) of campaign strategies need to be monitored throughout the campaign. A/B tes…

cs.SI2020★ 32 cited

AGL: a Scalable System for Industrial-purpose Graph Machine Learning

Dalong Zhang, Xin Huang, Ziqi Liu +8

Machine learning over graphs have been emerging as powerful learning tools for graph data. However, it is challenging for industrial communities to leverage the techniques, such as…

cs.SI2020

DSSLP: A Distributed Framework for Semi-supervised Link Prediction

Dalong Zhang, Xianzheng Song, Ziqi Liu +4

Link prediction is widely used in a variety of industrial applications, such as merchant recommendation, fraudulent transaction detection, and so on. However, it's a great challeng…

cs.SI2020

Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing

Ziqi Liu, Dong Wang, Qianyu Yu +8

Mobile payment such as Alipay has been widely used in our daily lives. To further promote the mobile payment activities, it is important to run marketing campaigns under a limited…

cs.SI2018★ 6 cited

Feature Propagation on Graph: A New Perspective to Graph Representation Learning

Biao Xiang, Ziqi Liu, Jun Zhou +1

We study feature propagation on graph, an inference process involved in graph representation learning tasks. It's to spread the features over the whole graph to the -th orders,…