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

doi:10.1145/3321506

	A(2) CMHNE: Attention-Aware Collaborative Multimodal Heterogeneous Network Embedding
	Hu, Jun 3; Qian, Shengsheng1 ; Fang, Quan1 ; Liu, Xueliang 3; Xu, Changsheng2,4,5
刊名	ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS
	2019-06-01
卷号	15 期号:2 页码:17
关键词	Network embedding multimodal heterogeneous network
ISSN号	1551-6857
DOI	10.1145/3321506
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
出版者	ASSOC COMPUTING MACHINERY
WOS记录号	WOS:000477935400016
资助机构	National Natural Science Foundation of China ; Key Research Program of Frontier Sciences, CAS ; K. C. Wong Education Foundation
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/27815]
专题	中国科学院自动化研究所
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.