most citedA Semi-supervised Graph Attentive Network for Financial Fraud Detection

364 citations · 365 across the 2 of their papers we have counts for

collaborators

5 papers

cs.IR20201 cited

RNE: A Scalable Network Embedding for Billion-scale Recommendation

Jianbin Lin, Daixin Wang, Lu Guan +5

Nowadays designing a real recommendation system has been a critical problem for both academic and industry. However, due to the huge number of users and items, the diversity and dy…

cs.LG2020

NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay

Jianbin Lin, Zhiqiang Zhang, Jun Zhou +5

Ant Credit Pay is a consumer credit service in Ant Financial Service Group. Similar to credit card, loan default is one of the major risks of this credit product. Hence, effective…

cs.CR2020

InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance

Cen Chen, Chen Liang, Jianbin Lin +7

The insurance industry has been creating innovative products around the emerging online shopping activities. Such e-commerce insurance is designed to protect buyers from potential…

cs.CL2020

Generating Natural Language Adversarial Examples on a Large Scale with Generative Models

Yankun Ren, Jianbin Lin, Siliang Tang +4

Today text classification models have been widely used. However, these classifiers are found to be easily fooled by adversarial examples. Fortunately, standard attacking methods ge…

cs.SI2020364 cited

A Semi-supervised Graph Attentive Network for Financial Fraud Detection

Daixin Wang, Jianbin Lin, Peng Cui +7

With the rapid growth of financial services, fraud detection has been a very important problem to guarantee a healthy environment for both users and providers. Conventional solutio…