49 citations · 79 across the 8 of their papers we have counts for
8 papers
Heterogeneous Graph Neural Network for Recommendation
Jinghan Shi, Houye Ji, Chuan Shi +3
The prosperous development of e-commerce has spawned diverse recommendation systems. As a matter of fact, there exist rich and complex interactions among various types of nodes in…
Secure Social Recommendation based on Secret Sharing
Chaochao Chen, Liang Li, Bingzhe Wu +3
Nowadays, privacy preserving machine learning has been drawing much attention in both industry and academy. Meanwhile, recommender systems have been extensively adopted by many com…
Data-Free Adversarial Perturbations for Practical Black-Box Attack
ZhaoXin Huan, Yulong Wang, Xiaolu Zhang +3
Neural networks are vulnerable to adversarial examples, which are malicious inputs crafted to fool pre-trained models. Adversarial examples often exhibit black-box attacking transf…
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…
Uncovering Insurance Fraud Conspiracy with Network Learning
Chen Liang, Ziqi Liu, Bin Liu +4
Fraudulent claim detection is one of the greatest challenges the insurance industry faces. Alibaba's return-freight insurance, providing return-shipping postage compensations over…
Heterogeneous Graph Neural Networks for Malicious Account Detection
Ziqi Liu, Chaochao Chen, Xinxing Yang +3
We present, GEM, the first heterogeneous graph neural network approach for detecting malicious accounts at Alipay, one of the world's leading mobile cashless payment platform. Our…