Articles with "information network" as a keyword



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Learning heterogeneous information network embeddings via relational triplet network

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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
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A Method of Supply Chain Evaluation Based on the Structure of an Information Network

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Published in 2019 at "Procedia Manufacturing"

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
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Identifying influential nodes: A new method based on network efficiency of edge weight updating.

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Published in 2021 at "Chaos"

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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Published in 2022 at "IEEE Access"

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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Published in 2022 at "IEEE Access"

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

Underwater Object Search and Power Recharging Using Information Network and Multiple Underwater Robots

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Published in 2024 at "IEEE Transactions on Aerospace and Electronic Systems"

DOI: 10.1109/taes.2024.3376519

Abstract: Consider a bounded workspace where the information network is already deployed to cover a cluttered underwater environment where the global positioning system is not available. Later, underwater robots are deployed in the workspace where the… read more here.

Keywords: information; search; robot; information network ... See more keywords

DDI Prediction With Heterogeneous Information Network - Meta-Path Based Approach

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Published in 2024 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"

DOI: 10.1109/tcbb.2024.3417715

Abstract: Drug-drug interaction (DDI) indicates where a particular drug's desired course of action is modified when taken with other drug (s). DDIs may hamper, enhance, or reduce the expected effect of either drug or, in the… read more here.

Keywords: drug; ddi prediction; information network; heterogeneous information ... See more keywords

$k$ -Context Technique: A Method for Identifying Dense Subgraphs in a Heterogeneous Information Network

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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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Published in 2017 at "IEEE Transactions on Knowledge and Data Engineering"

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

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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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Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"

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