activity
20182023
most citedGeniePath: Graph Neural Networks with Adaptive Receptive Paths

47 citations · 314 across the 34 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.AI2018

FinBrain: When Finance Meets AI 2.0

Xiaolin Zheng, Mengying Zhu, Qibing Li +2

Artificial intelligence (AI) is the core technology of technological revolution and industrial transformation. As one of the new intelligent needs in the AI 2.0 era, financial inte…

cs.LG2018★ 1 cited

Distributed Collaborative Hashing and Its Applications in Ant Financial

Chaochao Chen, Ziqi Liu, Peilin Zhao +3

Collaborative filtering, especially latent factor model, has been popularly used in personalized recommendation. Latent factor model aims to learn user and item latent factors from…

cs.LG2018★ 19 cited

Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud

Ya-Lin Zhang, Jun Zhou, Wenhao Zheng +10

Internet companies are facing the need for handling large-scale machine learning applications on a daily basis and distributed implementation of machine learning algorithms which c…

cs.LG2018★ 1 cited

Time-sensitive Customer Churn Prediction based on PU Learning

Li Wang, Chaochao Chen, Jun Zhou +1

With the fast development of Internet companies throughout the world, customer churn has become a serious concern. To better help the companies retain their customers, it is import…

cs.LG2018★ 47 cited

GeniePath: Graph Neural Networks with Adaptive Receptive Paths

Ziqi Liu, Chaochao Chen, Longfei Li +4

We present, GeniePath, a scalable approach for learning adaptive receptive fields of neural networks defined on permutation invariant graph data. In GeniePath, we propose an adapti…