scholarly journals Weakly-Supervised Network Alignment With Adversarial Learning

2019 ◽  
Author(s):  
Nguyen Thanh Toan ◽  
Phan Thanh Cong ◽  
Quan Thanh Tho
Keyword(s):  
Network Alignment ◽  
Adversarial Learning ◽  
Weakly Supervised

scholarly journals Adversarial Learning for Weakly-Supervised Social Network Alignment

2019 ◽  
Vol 33 ◽  
pp. 996-1003 ◽  
Author(s):  
Chaozhuo Li ◽  
Senzhang Wang ◽  
Yukun Wang ◽  
Philip Yu ◽  
Yanbo Liang ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Alignment ◽  
Social Identities ◽  
Projection Function ◽  
Adversarial Learning ◽  
Learning Framework ◽  
Multiple Datasets ◽  
Research Challenges ◽  
Weakly Supervised

Nowadays, it is common for one natural person to join multiple social networks to enjoy different kinds of services. Linking identical users across multiple social networks, also known as social network alignment, is an important problem of great research challenges. Existing methods usually link social identities on the pairwise sample level, which may lead to undesirable performance when the number of available annotations is limited. Motivated by the isomorphism information, in this paper we consider all the identities in a social network as a whole and perform social network alignment from the distribution level. The insight is that we aim to learn a projection function to not only minimize the distance between the distributions of user identities in two social networks, but also incorporate the available annotations as the learning guidance. We propose three models SNNAu, SNNAb and SNNAo to learn the projection function under the weakly-supervised adversarial learning framework. Empirically, we evaluate the proposed models over multiple datasets, and the results demonstrate the superiority of our proposals.

Dual Adversarial Learning Based Network Alignment

2019 ◽  
Author(s):  
Jiaxiang Ren ◽  
Yang Zhou ◽  
Ruoming Jin ◽  
Zijie Zhang ◽  
Dejing Dou ◽  
...  
Keyword(s):  
Network Alignment ◽  
Adversarial Learning

scholarly journals Weakly supervised anomaly segmentation in retinal OCT images using an adversarial learning approach: publisher’s note

2021 ◽  
Author(s):  
Sarah J. Walker ◽  
Jing Wang ◽  
Wanyue Li ◽  
Yiwei Chen ◽  
wangyi Fang ◽  
...  
Keyword(s):  
Learning Approach ◽  
Adversarial Learning ◽  
Weakly Supervised

scholarly journals Weakly Supervised Anomaly Segmentation in Retinal OCT Images Using An Adversarial Learning Approach

2021 ◽  
Author(s):  
Guohua Shi ◽  
Jing Wang ◽  
Wanyue Li ◽  
Yiwei Chen ◽  
wangyi Fang ◽  
...  
Keyword(s):  
Learning Approach ◽  
Adversarial Learning ◽  
Weakly Supervised
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