5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2020
Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification
Kai Zhang, Yaokang Zhu, Jun Wang +2
Graph neural networks are promising architecture for learning and inference with graph-structured data. Yet difficulties in modelling the ``parts'' and their ``interactions'' still…
cs.LG2016★ 3 cited
Distributed Flexible Nonlinear Tensor Factorization
Shandian Zhe, Kai Zhang, Pengyuan Wang +4
Tensor factorization is a powerful tool to analyse multi-way data. Compared with traditional multi-linear methods, nonlinear tensor factorization models are capable of capturing mo…
cs.LG2012★ 5 cited
Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method
Kai Zhang, Liang Lan, Jun Liu +2
Low-rank matrix decomposition has gained great popularity recently in scaling up kernel methods to large amounts of data. However, some limitations could prevent them from working…