Results 1 to 10 of about 273,685 (258)
CoarSAS2hvec: Heterogeneous Information Network Embedding with Balanced Network Sampling [PDF]
Entropy, 2022 Heterogeneous information network (HIN) embedding is an important tool for tasks such as node classification, community detection, and recommendation. It aims to find the representations of nodes that preserve the proximity between entities of different ...
Ling Zhan, Tao Jia
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Heterogeneous Information Network-Based Patient Similarity Search [PDF]
Frontiers in Cell and Developmental Biology, 2021 Patient similarity search is a fundamental and important task in artificial intelligence-assisted medicine service, which is beneficial to medical diagnosis, such as making accurate predictions for similar diseases and recommending personalized treatment
Hao-zhe Huang +7 more
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HeteEdgeWalk: A Heterogeneous Edge Memory Random Walk for Heterogeneous Information Network Embedding [PDF]
Entropy, 2023 Most Heterogeneous Information Network (HIN) embedding methods use meta-paths to guide random walks to sample from HIN and perform representation learning in order to overcome the bias of traditional random walks that are more biased towards high-order ...
Zhenpeng Liu +4 more
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A survey of heterogeneous information network analysis [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2017 Most real systems consist of a large number of interacting, multi-typed components, while most contemporary researches model them as homogeneous networks, without distinguishing different types of objects and links in the networks. Recently, more and more researchers begin to consider these interconnected, multi-typed data as heterogeneous information ...
Yitong Li, Philip Yu, Chuan Shi
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Heterogeneous Information Network Embedding for Recommendation [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2019 Due to the flexibility in modelling data heterogeneity, heterogeneous information network (HIN) has been adopted to characterize complex and heterogeneous auxiliary data in recommender systems, called HIN based recommendation. It is challenging to develop effective methods for HIN based recommendation in both extraction and exploitation of the ...
Yitong Li, Binbin Hu, Philip Yu
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Frontiers in PhysicsTo explore heterogeneous behavior diffusion in the same population under a heterogeneous network, this study establishes a dual-layer heterogeneous network model to simulate the spreading patterns of hesitant individuals and regular individuals in ...
Shiru Cui, Xuzhen Zhu
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Measuring diversity in heterogeneous information networks [PDF]
Theoretical Computer Science, 2021 Diversity is a concept relevant to numerous domains of research varying from ecology, to information theory, and to economics, to cite a few. It is a notion that is steadily gaining attention in the information retrieval, network analysis, and artificial neural networks communities.
Ramaciotti Morales, Pedro +5 more
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Temporal Heterogeneous Information Network Embedding [PDF]
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021 Heterogeneous information network (HIN) embedding, learning the low-dimensional representation of multi-type nodes, has been applied widely and achieved excellent performance. However, most of the previous works focus more on static heterogeneous networks or learning node embedding within specific snapshots, and seldom attention has been paid to the ...
Hong Huang 0001 +5 more
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Deep Learning-based Heterogeneous Information Network Representation:A Survey [PDF]
Jisuanji kexue, 2023 Things in the nature connect mutually.There are various associations between them in the real world.For example,social networks can be constructed by the user-user relationships.The article-author relationship can be used to construct a citation network ...
WANG Huiyan, YU Minghe, YU Ge
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Maximum Influential Community Search in Heterogeneous Information Network [PDF]
Jisuanji kexue, 2023 Heterogeneous information network can effectively model data systems,which have diverse object types and complex interactions.Research on community search based on heterogeneous information networks usually builds community models centered on vertex type,
DU Ming, YANG Wen, ZHOU Junfeng
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