Computing Cliques and Cavities in Networks

no code implementations • 3 Jan 2021 • Dinghua Shi, Zhifeng Chen, Xiang Sun, Qinghua Chen, Chuang Ma, Yang Lou, Guanrong Chen

Complex networks contain complete subgraphs such as nodes, edges, triangles, etc., referred to as simplices and cliques of different orders.

Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously

no code implementations • 18 Mar 2020 • Qing Tian, Yanan Zhu, Chuang Ma, Meng Cao

Unsupervised domain adaptation (UDA) is an emerging research topic in the field of machine learning and pattern recognition, which aims to help the learning of unlabeled target domain by transferring knowledge from the source domain.

BIG-bench Machine Learning Unsupervised Domain Adaptation