203 citations · 650 across the 30 of their papers we have counts for
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cs.LG2021
A Probit Tensor Factorization Model For Relational Learning
Ye Liu, Rui Song, Wenbin Lu +1
With the proliferation of knowledge graphs, modeling data with complex multirelational structure has gained increasing attention in the area of statistical relational learning. One…
cs.LG2021★ 25 cited
FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion
Sijie Cheng, Jingwen Wu, Yanghua Xiao +1
Today data is often scattered among billions of resource-constrained edge devices with security and privacy constraints. Federated Learning (FL) has emerged as a viable solution to…
cs.LG2019★ 1 cited
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks
Yuting Ye, Xuwu Wang, Jiangchao Yao +4
Low-dimensional embeddings of knowledge graphs and behavior graphs have proved remarkably powerful in varieties of tasks, from predicting unobserved edges between entities to conte…