Are Negative Links Really Beneficial to Network Embedding? In-Depth Analysis and Interesting Results
- Title
- Are Negative Links Really Beneficial to Network Embedding? In-Depth Analysis and Interesting Results
- Author
- 김상욱
- Keywords
- network embedding; signed network embedding; negative links
- Issue Date
- 2020-10
- Publisher
- ACM CIKM 2020
- Citation
- Proceedings of the 29th ACM International Conference on Information & Knowledge Management, page. 2113-2116
- Abstract
- In this paper, we start by pointing out the limitations on the validation of existing signed network embedding (NE) methods. To address the limitations, we design the two research questions: (1) are signed NE methods more effective in various types of tasks than unsigned NE methods? (2) in signed NE methods, does the utilization of negative links help provide higher accuracy in various tasks? To answer the questions, we present our evaluation framework consisting of three components: (1) five signed network datasets, (2) six signed and two unsigned NE methods, and (3) five types of tasks. Through extensive experiments on our evaluation framework, we demonstrate that the additional utilization of negative links helps only in some tasks related to negative links but not in the tasks related to positive links.
- URI
- https://dl.acm.org/doi/10.1145/3340531.3412107https://repository.hanyang.ac.kr/handle/20.500.11754/171312
- ISBN
- 978-1-4503-6859-9
- DOI
- 10.1145/3340531.3412107
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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