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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…
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Keywords:
information networks;
information;
heterogeneous information;
star structure ... See more keywords
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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…
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Keywords:
information networks;
cost;
heterogeneous information;
cube query ... See more keywords
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Published in 2021 at "Journal of Economic Dynamics and Control"
DOI: 10.1016/j.jedc.2021.104217
Abstract: Abstract We introduce a novel method to identify information networks in stock markets, which explicitly accounts for the impact of public information on investor trading decisions. We show that public information has a clear effect…
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Keywords:
networks stock;
information networks;
stock markets;
identification information ... See more keywords
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Published in 2019 at "Nature Human Behaviour"
DOI: 10.1038/s41562-019-0760-x
Abstract: The decisions we make are partly based on the information we receive. However, not everybody is exposed to the same information when making a decision, such as which party to vote for. Understanding how information…
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Keywords:
information networks;
information;
influence;
decision making ... See more keywords
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Published in 2017 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2017.2733530
Abstract: In real-world applications, objects of multiple types are interconnected, forming Heterogeneous Information Networks. In such heterogeneous information networks, we make the key observation that many interactions happen due to some event and the objects in…
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Keywords:
information networks;
information;
heterogeneous information;
bold bold ... See more keywords
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Published in 2021 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2019.2947458
Abstract: Collective classification has attracted considerable attention in the last decade, where the labels within a group of instances are correlated and should be inferred collectively, instead of independently. Conventional approaches on collective classification mainly focus…
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Keywords:
information networks;
relational features;
classification heterogeneous;
collective classification ... See more keywords
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Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3068093
Abstract: Twitter, a microblogging platform, has developed into an increasingly invaluable information source, where millions of users post a great quantity of tweets with various topics per day. Heterogeneous information networks consisting of multi-type objects and…
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Keywords:
information;
heterogeneous information;
tweet entity;
information networks ... See more keywords
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Published in 2021 at "IEEE/ACM Transactions on Networking"
DOI: 10.1109/tnet.2021.3075430
Abstract: We consider an information network comprised of nodes that are: rational-information-consumers (RICs) and/or biased-information-providers (BIPs). Making the reasonable abstraction that any external event is reported as an answer to a logical statement, we model each…
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Keywords:
information networks;
tex math;
inline formula;
information ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3213799
Abstract: Graph Convolutional Networks (GCNs) derive inspiration from recent advances in computer vision, by stacking layers of first-order filters followed by a nonlinear activation function to learn entity or graph embeddings. Although GCNs have been shown…
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Keywords:
information;
network;
aware graph;
information networks ... See more keywords