Learning heterogeneous information network embeddings via relational triplet network
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.043
Abstract: Abstract Network embedding algorithms learn low-dimensional features from the relationships and attributes of networks. The basic principle of these algorithms is to preserve the similarities in the original networks as much as possible. However, in… read more here.
Keywords: relational triplet; network; information network; heterogeneous information ... See more keywords
A Method of Supply Chain Evaluation Based on the Structure of an Information Network
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DOI: 10.1016/j.promfg.2020.01.298
Abstract: Abstract A supply chain is a system consisting of different entities, which add value from the original resources to the final products for customers. Although each entity is indispensable for the construction of a supply… read more here.
Keywords: supply; information network; supply chain; method ... See more keywords
Identifying influential nodes: A new method based on network efficiency of edge weight updating.
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DOI: 10.1063/5.0033197
Abstract: Identification of influential nodes in complex networks is an area of exciting growth since it can help us to deal with various problems. Furthermore, identifying important nodes can be used across various disciplines, such as… read more here.
Keywords: network; information network; method; influential nodes ... See more keywords
Heterogeneous Information Network Representation Learning Incorporating Community Structure
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DOI: 10.1109/access.2022.3172746
Abstract: Network embedding usually learns the node representations using their local context information. However, as an important mesoscopic description of network structures, community structures hidden in the networks have been largely ignored. Incorporating community structures into… read more here.
Keywords: information network; network; community; heterogeneous information ... See more keywords
Fusing User Reviews into Heterogeneous Information Network Recommendation Model
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DOI: 10.1109/access.2022.3176727
Abstract: With the advent of the information epoch and the development of Big Data, users are constantly overwhelmed in massive information online. As an effective method to deal with this dilemma of information overload, recommendation system… read more here.
Keywords: information; information network; recommendation; model ... See more keywords
$k$ -Context Technique: A Method for Identifying Dense Subgraphs in a Heterogeneous Information Network
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2019.2942323
Abstract: Most real-life problems can be modeled using heterogeneous networks, as they consist of several interconnected entities. However, researchers often study most of these problems as projected homogeneous networks. In such networks, different entities can be… read more here.
Keywords: information network; topology; dense subgraphs; network ... See more keywords
A Survey of Heterogeneous Information Network Analysis
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DOI: 10.1109/tkde.2016.2598561
Abstract: Most real systems consist of a large number of interacting, multi-typed components, while most contemporary researches model them as homogeneous information networks, without distinguishing different types of objects and links in the networks. Recently, more… read more here.
Keywords: network analysis; information network; information; heterogeneous information ... See more keywords
RHINE: Relation Structure-Aware Heterogeneous Information Network Embedding
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.2982898
Abstract: Heterogeneous information network (HIN) embedding aims to learn the low-dimensional representations of nodes while preserving structures and semantics in HINs. Although most existing methods consider heterogeneous relations and achieve promising performance, they usually employ one… read more here.
Keywords: information network; semantics; structure; heterogeneous relations ... See more keywords
Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity
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DOI: 10.1109/tkde.2020.2993870
Abstract: Heterogeneous information network (HIN) embedding aims at learning the low-dimensional representation of nodes while preserving structure and semantics in a HIN. Existing methods mainly focus on static networks, while a real HIN usually evolves over… read more here.
Keywords: information network; semantics; path; meta path ... See more keywords
Heterogeneous information network based clustering for precision traditional Chinese medicine
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DOI: 10.1186/s12911-019-0963-0
Abstract: Background Traditional Chinese medicine (TCM) is a highly important complement to modern medicine and is widely practiced in China and in many other countries. The work of Chinese medicine is subject to the two factors… read more here.
Keywords: medicine; traditional chinese; information network; heterogeneous information ... See more keywords