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20192022
most citedMultiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network

145 citations · 424 across the 13 of their papers we have counts for

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Showing cs.LGShow all

5 papers · 1 filter

cs.LG20228 cited

An Efficient and Robust System for Vertically Federated Random Forest

Houpu Yao, Jiazhou Wang, Peng Dai +2

As there is a growing interest in utilizing data across multiple resources to build better machine learning models, many vertically federated learning algorithms have been proposed…

cs.LG202121 cited

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network

Xiyue Zhang, Chao Huang, Yong Xu +5

Accurate forecasting of citywide traffic flow has been playing critical role in a variety of spatial-temporal mining applications, such as intelligent traffic control and public ri…

cs.LG202112 cited

Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform

Bo Liu, Chaowei Tan, Jiazhou Wang +7

In this paper, we present Fedlearn-Algo, an open-source privacy preserving machine learning platform. We use this platform to demonstrate our research and development results on pr…

cs.LG2019

EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph

Yuxiang Ren, Hao Zhu, Jiawei Zhang +2

Fraud detection is extremely critical for e-commerce business. It is the intent of the companies to detect and prevent fraud as early as possible. Existing fraud detection methods…

cs.LG2019

Heterogeneous Deep Graph Infomax

Yuxiang Ren, Bo Liu, Chao Huang +3

Graph representation learning is to learn universal node representations that preserve both node attributes and structural information. The derived node representations can be used…