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A(2) CMHNE: Attention-Aware Collaborative Multimodal Heterogeneous Network Embedding

文献类型：期刊论文

作者Hu, Jun3; Qian, Shengsheng1; Fang, Quan1; Liu, Xueliang3; Xu, Changsheng2,4,5
刊名ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS
出版日期2019-06-01
卷号15期号:2页码:17
关键词Network embedding multimodal heterogeneous network
ISSN号1551-6857
DOI10.1145/3321506
通讯作者Hu, Jun(hujunxianligong@gmail.com)
英文摘要Network representation learning is playing an important role in network analysis due to its effectiveness in a variety of applications. However, most existing network embedding models focus on homogeneous networks and neglect the diverse properties such as different types of network structures and associated multimedia content information. In this article, we learn node representations for multimodal heterogeneous networks, which contain multiple types of nodes and/or links as well as multimodal content such as texts and images. We propose a novel attention-aware collaborative multimodal heterogeneous network embedding method (A(2)CMHNE), where an attention-based collaborative representation learning approach is proposed to promote the collaboration of structure-based embedding and content-based embedding, and generate the robust node representation by introducing an attention mechanism that enables informative embedding integration. In experiments, we compare our model with existing network embedding models on two real-world datasets. Our method leads to dramatic improvements in performance by 5%, and 9% compared with five state-of-the-art embedding methods on one benchmark (M10 Dataset), and on a multi-modal heterogeneous network dataset (WeChat dataset) for node classification, respectively. Experimental results demonstrate the effectiveness of our proposed method on both node classification and link prediction tasks.
资助项目National Natural Science Foundation of China[61432019] ; National Natural Science Foundation of China[61702509] ; National Natural Science Foundation of China[61802405] ; National Natural Science Foundation of China[61720106006] ; National Natural Science Foundation of China[61572503] ; National Natural Science Foundation of China[61772170] ; National Natural Science Foundation of China[61632007] ; Key Research Program of Frontier Sciences, CAS[QYZDJ-SSW-JSC039] ; K. C. Wong Education Foundation
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000477935400016
出版者ASSOC COMPUTING MACHINERY
资助机构National Natural Science Foundation of China ; Key Research Program of Frontier Sciences, CAS ; K. C. Wong Education Foundation
源URL[http://ir.ia.ac.cn/handle/173211/27815]  
专题自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队
通讯作者Hu, Jun
作者单位1.Chinese Acad Sci, Inst Automat, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, HeFei Univ Technol, Chinese Acad Sci, Inst Automat, Shenzhen, Peoples R China
3.HeFei Univ Technol, 193 Tunxi Rd, Hefei 230009, Anhui, Peoples R China
4.Peng Cheng Lab, Shenzhen, Peoples R China
5.95 Zhongguancun East Rd, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Hu, Jun,Qian, Shengsheng,Fang, Quan,et al. A(2) CMHNE: Attention-Aware Collaborative Multimodal Heterogeneous Network Embedding[J]. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,2019,15(2):17.
APA Hu, Jun,Qian, Shengsheng,Fang, Quan,Liu, Xueliang,&Xu, Changsheng.(2019).A(2) CMHNE: Attention-Aware Collaborative Multimodal Heterogeneous Network Embedding.ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,15(2),17.
MLA Hu, Jun,et al."A(2) CMHNE: Attention-Aware Collaborative Multimodal Heterogeneous Network Embedding".ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS 15.2(2019):17.

入库方式： OAI收割

来源：自动化研究所

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