Results 21 to 30 of about 273,685 (258)

H2Rec: Homogeneous and Heterogeneous Network Embedding Fusion for Social Recommendation

International Journal of Computational Intelligence Systems, 2021
Due to the problems of data sparsity and cold start in traditional recommendation systems, social information is introduced. From the perspective of heterogeneity, it reflects the indirect relationship between users, and from the perspective of ...
Yabin Shao, Cheng Liu
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A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources

AI Open, 2022
As an important way to alleviate information overload, a recommender system aims to filter out irrelevant information for users and provides them items that they may be interested in.
Jiawei Liu, Chuan Shi, Cheng Yang, Zhiyuan Lu, Philip S. Yu   +4 more
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Network Schema Preserving Heterogeneous Information Network Embedding [PDF]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
As heterogeneous networks have become increasingly ubiquitous, Heterogeneous Information Network (HIN) embedding, aiming to project nodes into a low-dimensional space while preserving the heterogeneous structure, has drawn increasing attention in recent years.
Jianan Zhao 0002, Xiao Wang 0017, Chuan Shi 0001, Zekuan Liu, Yanfang Ye 0001   +4 more
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SDN-based Transmission Strategies for Heterogeneous Spatial Information Network [PDF]

Jisuanji gongcheng, 2019
In the environment of large spatial-temporal scale and sparse nodes of spatial information network,the heterogeneity of traditional networks decreases the efficiency of network transmission,and the inter-satellite communication process is easily ...
YANG Li, QI Yaowen, PAN Chengsheng
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Review on heterogeneous network representation learning method

Journal of Hebei University of Science and Technology, 2021
Most of the real-life networks are heterogeneous networks that contain multiple types of nodes and edges, and heterogeneous networks integrate more information and contain richer semantic information than homogeneous networks.
Jianxia WANG, Menglin LIU, Yunfeng XU, Yan ZHANG   +3 more
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Recommendation Algorithm Based on Heterogeneous Information Network Embedding and Attention Neural Network [PDF]

Jisuanji kexue, 2021
Recommendation system,as a very effective technique to solve the information overload,has received a great deal of attention from researchers.However,the real application of recommending systems can be modeled as heterogeneous networks with multi-typed ...
ZHAO Jin-long, ZHAO Zhong-ying
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Information networks – concept, classification and application

Science, Engineering and Technology, 2021
An information network is a structure used for transmitting various forms and types of information. In basic structure, it consists of branches that connect certain nodes.
Nazif Salihović, Adisa Hasković Džubur   +1 more
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Tensor SimRank for Heterogeneous Information Networks

CoRR, 2015
We propose a generalization of SimRank similarity measure for heterogeneous information networks. Given the information network, the intraclass similarity score s(a, b) is high if the set of objects that are related with a and the set of objects that are related with b are pair-wise similar according to all imposed relations.
Ben Usman, Ivan V. Oseledets
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Information Spread and Topic Diffusion in Heterogeneous Information Networks [PDF]

Scientific Reports, 2018
AbstractDiffusion of information in complex networks largely depends on the network structure. Recent studies have mainly addressed information diffusion in homogeneous networks where there is only a single type of nodes and edges. However, some real-world networks consist of heterogeneous types of nodes and edges.
Soheila Molaei, Sama Babaei, Mostafa Salehi, Mahdi Jalili   +3 more
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Adversarial network embedding on heterogeneous information networks [PDF]

Journal of Physics: Conference Series, 2020
Abstract Network embedding has been proven to be helpful for solving real-world problems. Moreover, real-world networks are often heterogeneous information networks(HINs). In this paper, we propose a new adversarial framework for heterogeneous network embedding, namely AGNE-HIN.
Ting Lan, Changxuan Wu, Chunyan Yu, Xiu Wang   +3 more
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