This repository contains the author's implementation in Matlab for the paper "Network Together: Node Classification via Cross-Network Deep Network Embedding".

"source_SAE.m" is the function of SAE_s which learns low-dimensional node vector representations for source network

"target_SAE.m" is the function of SAE_t which learns low-dimensional node vector representations for target network

“test_CDNE_Blog.m” is an example case of cross-network node classification from Blog1 to Blog2

“test_CDNE_DBLP.m” is an example case of cross-network node classification from citationv1 to dblpv7

Xiao Shen, Quanyu Dai, Sitong Mao, Fu-lai Chung, and Kup-Sze Choi, "Network Together: Node Classification via Cross network Deep Network Embedding," IEEE Trans. Neural. Netw. Learn. Syst., vol. 32, no. 5, pp. 1935-1948, 2021.