作者
Boshen Shi, Yongqing Wang, Jiangli Shao, Huawei Shen, Yangyang Li, Xueqi Cheng
发表日期
2023/12
期刊
Knowledge and Information Systems
卷号
65
期号
12
页码范围
5479-5502
出版商
Springer London
简介
To improve the performance of classifying nodes on unlabeled or scarcely-labeled networks, the task of node classification across networks is proposed for transferring knowledge from similar networks with rich labels. As data distribution shift exists across networks, domain adaptive network embedding is proposed to overcome such challenge by learning network-invariant and discriminative node embeddings, in which domain adaptation technique is applied to network embedding for reducing domain discrepancy. However, existing works merely discuss category-level domain discrepancy which is crucial to better adaptation and classification. In this paper, we propose category-level domain adaptive network embedding. The key idea is minimizing intra-class domain discrepancy and maximizing inter-class domain discrepancy between source and target networks simultaneously. To further enhance classification …
学术搜索中的文章
B Shi, Y Wang, J Shao, H Shen, Y Li, X Cheng - Knowledge and Information Systems, 2023