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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
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…