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   Articles with "heterogeneous information" as a keyword



HEEL: exploratory entity linking for heterogeneous information networks

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recommendations! Published in 2019 at "Knowledge and Information Systems"

DOI: 10.1007/s10115-019-01354-1

Abstract: A heterogeneous information network (HIN) is a ubiquitous data model, consisting of multiple types of entities and relations. Names of entities in HINs are inherently ambiguous, making it difficult to fully disambiguate a HIN. In… read more here.

Keywords: heterogeneous information; heel exploratory; exploratory entity; entity ... See more keywords

Clustering for heterogeneous information networks with extended star-structure

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recommendations! Published in 2019 at "Data Mining and Knowledge Discovery"

DOI: 10.1007/s10618-019-00626-2

Abstract: Clustering of objects in a heterogeneous information network, where different types of objects are linked to each other, is an important problem in heterogeneous information network analysis. Several existing clustering approaches deal with star-structured information… read more here.

Keywords: information networks; information; heterogeneous information; star structure ... See more keywords

HINMINE: heterogeneous information network mining with information retrieval heuristics

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recommendations! Published in 2017 at "Journal of Intelligent Information Systems"

DOI: 10.1007/s10844-017-0444-9

Abstract: The paper presents an approach to mining heterogeneous information networks by decomposing them into homogeneous networks. The proposed HINMINE methodology is based on previous work that classifies nodes in a heterogeneous network in two steps.… read more here.

Keywords: methodology; information; network; step ... See more keywords

Minimized-cost cube query on heterogeneous information networks

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recommendations! Published in 2017 at "Journal of Combinatorial Optimization"

DOI: 10.1007/s10878-015-9967-6

Abstract: Data cube is the foundation of on-line analytical processing (OLAP), which can provide users with data views from different perspectives and granularities. Heterogeneous information networks consist of multiple types of nodes and edges which represent… read more here.

Keywords: information networks; cost; heterogeneous information; cube query ... See more keywords

Herding tendency among investors with heterogeneous information: Evidence from China’s equity markets

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recommendations! Published in 2018 at "Journal of Multinational Financial Management"

DOI: 10.1016/j.mulfin.2018.11.001

Abstract: We investigate herding behavior using daily data of 87 Chinese stocks cross-listed on the A- and B-markets between 1996–2012, and shed light on herding within and between groups of investors with heterogeneous information. In addition… read more here.

Keywords: information; investors heterogeneous; market liberalization; herding ... See more keywords
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Learning heterogeneous information network embeddings via relational triplet network

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recommendations! 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 Community Detection Algorithm for Heterogeneous Information Networks

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3034214

Abstract: With the fast development of Internet, many fields have accumulated great amount of data. And plenty of them are organized in heterogeneous information network (HIN), so analyzing HIN efficiently is very necessary. Several HIN clustering… read more here.

Keywords: meta paths; weight values; heterogeneous information; target objects ... See more keywords
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A Label Propagation Based Node Clustering Algorithm in Heterogeneous Information Networks

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recommendations! Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3115605

Abstract: With the fast development of network technology, great amount of data have been accumulated. Plenty of them are organized by using heterogeneous information networks (HIN). So mining heterogeneous information networks efficiently is very important. Node… read more here.

Keywords: proposed algorithm; label propagation; procedure; heterogeneous information ... See more keywords

Heterogeneous Information Network Representation Learning Incorporating Community Structure

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recommendations! 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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recommendations! 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

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

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recommendations! 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