364 citations · 395 across the 4 of their papers we have counts for
7 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…
Bandit Samplers for Training Graph Neural Networks
Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang +4
Several sampling algorithms with variance reduction have been proposed for accelerating the training of Graph Convolution Networks (GCNs). However, due to the intractable computati…
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…
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…
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…
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…