Relevant bibliographies by topics / Heterogenous information network

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Heterogenous information network'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "Heterogenous information network"

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Xie, Jiang, Jing Zhang, Xiangcheng He, Shaolei Chen, Tai Zhang, and Jing Zhao. "Deep Reinforcement Learning-Based Automated Network Selection in Heterogenous CRNs." International Journal of Swarm Intelligence Research 15, no. 1 (2024): 1–16. http://dx.doi.org/10.4018/ijsir.352858.

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The development of technology that enables network convergence and the rising acceptance of heterogeneous network architectures have made it possible for many of the most important cognitive radio networks to communicate with a broad variety of authorized networks. Traditional algorithms for network selection make use of selection approaches that are dependent on prior information about the network under consideration. We use the proposed algorithm to choose different networks and integrate them into computers. This paper offers a network selection technique that is based on deep reinforcement
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DURRESI, ARJAN, VAMSI PARUCHURI, and RAJ JAIN. "GEOMETRIC BROADCAST PROTOCOL FOR HETEROGENEOUS SENSOR NETWORKS." Journal of Interconnection Networks 06, no. 03 (2005): 193–207. http://dx.doi.org/10.1142/s0219265905001381.

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We present Geometric Broadcast for Heterogeneous Sensor Networks (GBS), a novel broadcasting protocol for heterogeneous wireless sensor and actor networks. While broadcasting is a very energy expensive protocol, it is also widely used as a building block for a variety of other network layer protocols. Therefore, reducing the energy consumption by optimizing broadcasting is a major improvement in heterogenous sensor networking. GBS is a distributed algorithm where nodes make local decisions on whether to transmit based on a geometric approach. GBS does not need any neighborhood information and
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Geerts, Robbe, Frédéric Vandermoere, and Stijn Oosterlynck. "The Functionality of Dissimilarity: Pro-Environmental Behavior through Heterogenous Networks." Social Sciences 9, no. 12 (2020): 221. http://dx.doi.org/10.3390/socsci9120221.

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This study explores whether social interaction with dissimilar others can lead to pro-environmental behavior. Dissimilar others are people who differ from the person in question (e.g., in terms of lifestyle or culture). While most research focuses on homogenous social networks (e.g., spatial communities), we explore the potential of network heterophily. Specifically, using data (n = 1370) from the Flemish Survey on Sociocultural Shifts, we examine the relationship between network heterophily and pro-environmental behavior (i.e., shopping decisions and curtailment behavior). Building on Granove
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Alawi, Mahmoud, Raed Alsaqour, Maha Abdelhaq, et al. "Adaptive QoS-Aware Multi-Metrics Gateway Selection Scheme for Heterogenous Vehicular Network." Systems 10, no. 5 (2022): 142. http://dx.doi.org/10.3390/systems10050142.

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A heterogeneous vehicular network (HetVNET) is a promising network architecture that combines multiple network technologies such as IEEE 802.11p, dedicated short-range communication (DSRC), and third/fourth generation cellular networks (3G/4G). In this network area, vehicle users can use wireless fidelity access points (Wi-Fi APs) to offload 4G long-term evolution (4G-LTE) networks. However, when using Wi-Fi APs, the vehicles must organize themselves and select an appropriate mobile gateway (MGW) to communicate to the cellular infrastructure. Researchers are facing the problem of selecting the
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Jankovics, Vince, Michael Garcia Ortiz, and Eduardo Alonso. "HetSAGE: Heterogenous Graph Neural Network for Relational Learning (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 18 (2021): 15803–4. http://dx.doi.org/10.1609/aaai.v35i18.17898.

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This paper aims to bridge this gap between neuro-symbolic learning (NSL) and graph neural networks (GNN) approaches and provide a comparative study. We argue that the natural evolution of NSL leads to GNNs, while the logic programming foundations of NSL can bring powerful tools to improve the way information is represented and pre-processed for the GNN. In order to make this comparison, we propose HetSAGE, a GNN architecture that can efficiently deal with the resulting heterogeneous graphs that represent typical NSL learning problems. We show that our approach outperforms the state-of-the-art
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Chen, Xiaonan, and Suxia Zhang. "An SEIR model for information propagation with a hot search effect in complex networks." Mathematical Biosciences and Engineering 20, no. 1 (2022): 1251–73. http://dx.doi.org/10.3934/mbe.2023057.

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<abstract><p>We formulate an SEIR model for information propagation with the effect of a hot search in complex networks. Mathematical analysis is conducted in both a homogeneous network and heterogenous network. The results reveal that the dynamics are completely determined by the basic propagation number if the effect of a hot search is absent. On the other hand, when the effect of a hot search is taken into account, there exists no information-free equilibrium, and the information-propagating equilibrium is stable if the threshold is greater than 1. Numerical simulations were per
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A. P, Kavya, and D. J. Ravi. "A Distributed Clustering Based Energy Management Scheme for Heterogenous Wireless Sensor Network." Journal of Communication Engineering and Its Innovations 9, no. 1 (2023): 1–13. http://dx.doi.org/10.46610/jocei.2023.v09i01.001.

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The Internet of Things (IoT) is an emerging paradigm that offers a wide array of benefits for real-world applications. An IoT system is supported by a network of heterogeneous sensor nodes that collect information about the environment over time. The non-rechargeable batteries and energy constraints limit the network's lifespan. For this reason, controlling energy dissipation is one of the most important considerations when designing communication protocols for sensor networks. The clustering scheme is one of the most efficient ways to help networks be more energy-efficient. However, the major
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Shao, Ruizhe, Chun Du, Hao Chen, and Jun Li. "SUNet: Change Detection for Heterogeneous Remote Sensing Images from Satellite and UAV Using a Dual-Channel Fully Convolution Network." Remote Sensing 13, no. 18 (2021): 3750. http://dx.doi.org/10.3390/rs13183750.

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Change Detection in heterogeneous remote sensing images plays an increasingly essential role in many real-world applications, e.g., urban growth tracking, land use monitoring, disaster evaluation and damage assessment. The objective of change detection is to identify changes of geo-graphical entities or phenomena through two or more bitemporal images. Researchers have invested a lot in the homologous change detection and yielded fruitful results. However, change detection between heterogenous remote sensing images is still a great challenge, especially for change detection of heterogenous remo
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Singh, Harmeet, Manju Bala, and Sukhvinder Singh Bamber. "Augmenting network lifetime for heterogenous WSN assisted IoT using mobile agent." Wireless Networks 26, no. 8 (2020): 5965–79. http://dx.doi.org/10.1007/s11276-020-02422-z.

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Avirmed, Altankhuyag, Uranchimeg Erdenedalai, Selenge Erdenechimeg, Yansen Su, and Tseren-Onolt Ishdorj. "Biomolecular Network-based Study of a Parasitic Disease and Therapeutic Drugs." ICT Focus 1, no. 1 (2022): 22–34. http://dx.doi.org/10.58873/sict.v1i1.31.

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Computational drug repurposing methods, particularly biomolecular network-based disease-drug-target interaction models, are essential tools for integrating large-scale heterogenous molecular information and revealing functional mechanisms, as well as for main regulatory modules of interactants which can be useful in developing new drugs. In the present study, a drug-centric network for a parasitic disease (Echinococcosis) and therapeutic drugs have been considered. A complex network with more than 12,000 vertices and more than 33,000 edges representing interactions of 84 echinococcosis-related
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Dissertations / Theses on the topic "Heterogenous information network"

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Zhang, Jianjun. "Efficient Information Dissemination in Wide Area Heterogeneous Overlay Networks." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/16129.

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In this dissertation research we study and address the unique challenges involved in information sharing and dissemination of large-scale group communication applications. We focus on system architectures and various techniques for efficient and scalable information dissemination in distributed P2P environments. Our solutions are developed by targeting at utilizing three representative P2P overlay networks: structured P2P network based on consistent hashing techniques, unstructured Gnutella-like P2P network, and P2P GeoGrid based on geographical location and proximity of end nodes. We have mad
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Andersson, Karl. "On access network selection models and mobility support in heterogeneous wireless networks." Doctoral thesis, Luleå tekniska universitet, Datavetenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-18402.

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The aim of this thesis is to define a solution offering end-users seamless mobility in a multi-radio access technology environment. Today an increasing portion of cell phones and PDAs have more than one radio access technology and wireless access networks of various types are commonly available with overlapping coverage. This creates a heterogeneous network environment in which mobile devices can use several networks in parallel. In such environment the device needs to select the best network for each application to use available networks wisely. Selecting the best network for individual appli
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Köhler, Fredrik. "Network Virtualization in Multi-hop Heterogeneous Architecture." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-38696.

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Software Defined Networking is a technology that introduces modular and programmable networks that uses separated control- and data-planes. Traditional networks use mostly proprietary protocols and devices that needs to communicate with each other and share information about routes and paths in the network. SDN on the other hand uses a controller that communicates with devices through an open source protocol called OpenFlow. The routing rules of flows can be inserted into the networking devices by the controller. This technology is still new and it requires more research to provide evidence th
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Bhatia, Vishal. "Remote programming for heterogeneous sensor networks." Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/1091.

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Oliveira, Talmai B. "Dealing with Uncertainty and Conflicting Information in Heterogeneous Wireless Networks." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1352490436.

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Toledo, Testa Juan Ignacio. "Information extraction from heterogeneous handwritten documents." Doctoral thesis, Universitat Autònoma de Barcelona, 2019. http://hdl.handle.net/10803/667388.

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L’objectiu d’aquesta tesi és l’extracció d’Informació de documents total o parcialment manuscrits amb una certa estructura. Bàsicament treballem amb dos escenaris d’aplicació diferent. El primer escenari són els documents moderns altament estructurats, com formularis. En aquests documents, la informació semàntica està ja definida en camps, amb una posició concreta al document i l’extracció de la informació és equivalent a una transcripció. El segon escenari son els documents semi-estructurats totalment manuscrits on, a més de transcriure, cal associar un valor semàntic, d’entre un conjunt cone
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Razzaghi, Kouchaksaraei Hadi [Verfasser]. "Orchestrating network services using multi-domain, heterogeneous resources / Hadi Razzaghi Kouchaksaraei." Paderborn : Universitätsbibliothek, 2020. http://d-nb.info/1222587939/34.

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Rönkä, S. (Sami). "Administration and management of software licenses in a heterogeneous environment:the case of global license service administration." Master's thesis, University of Oulu, 2013. http://urn.fi/URN:NBN:fi:oulu-201305201323.

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This work presents a solution developed for the case company to help in license service management and license usage tacking for both system administrators and license owners or end users. The thesis first covers the basics for licenses and different licensing models used in Research and Development environments. It continues with a study of available tools for license management and usage reporting and their suitability for large enterprises. Based on this and discussions with the case company a solution is derived for the case company. The developed solution consists of a toolset for end use
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Ericsson, Joakim. "Object Migration in a Distributed, Heterogeneous SQL Database Network." Thesis, Linköpings universitet, Databas och informationsteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148181.

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There are many different database management systems (DBMSs) on the market today. They all have different strengths and weaknesses. What if all of these different DBMSs could be used together in a heterogeneous network? The purpose of this thesis is to explore ways of connecting the many different DBMSs together. This thesis will explore suitable architectures, features, and performance of such a network. This is all done in the context of Ericsson’s wireless communication network. This has not been done in this context before, and a big part of the thesis is exploring if it is even possible.
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Granlund, Daniel. "Secure and scalable roaming support in heterogeneous access networks." Licentiate thesis, Luleå tekniska universitet, Datavetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-17883.

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Mobility support for users connecting to the Internet is an increasing trend. Different types of access networks like WiFi, CDMA, and UMTS are available, creating a heterogeneous access network environment. In the Internet today, there are a number of providers of various sizes supporting different technologies. Moving between such operators different types of authentication methods are often used interrupting ongoing services. This, in combination with lacking roaming agreements makes mobility among them with maintained connectivity and uninterrupted services difficult or even impossible.This
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Books on the topic "Heterogenous information network"

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Shi, Chuan, and Philip S. Yu. Heterogeneous Information Network Analysis and Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56212-4.

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Bouguettaya, Athman. Interconnecting Heterogeneous Information Systems. Springer US, 1998.

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Fang, Yixiang, Kai Wang, Xuemin Lin, and Wenjie Zhang. Cohesive Subgraph Search Over Large Heterogeneous Information Networks. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97568-5.

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Yarvis, Mark D. Conductor: Distributed Adaptation for Heterogeneous Networks. Springer US, 2002.

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Ismāʻīl, Muḥammad. Cooperative Networking in a Heterogeneous Wireless Medium. Springer New York, 2013.

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Daji, Qiao, and SpringerLink (Online service), eds. Quality, Reliability, Security and Robustness in Heterogeneous Networks: 7th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2010, and Dedicated Short Range Communications Workshop, DSRC 2010, Houston, TX, USA, November 17-19, 2010, Revised Selected Papers. Springer Berlin Heidelberg, 2012.

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1959-, Fdida Serge, and Sugiura Kazunori, eds. Sustainable internet: Third Asian Internet Engineering Conference, AINTEC 2007, Phuket, Thailand, November 27-29, 2007 : proceedings. Springer, 2007.

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Mining Heterogeneous Information Networks. Springer Nature, 2012.

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Yu, Philip S., and Chuan Shi. Heterogeneous Information Network Analysis and Applications. Springer, 2018.

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Yu, Philip S., and Chuan Shi. Heterogeneous Information Network Analysis and Applications. Springer, 2017.

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Book chapters on the topic "Heterogenous information network"

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Zhao, Chenfei, Hengliang Wang, Yuan Li, and Kedian Mu. "Combining Meta-Graph and Attention for Recommendation over Heterogenous Information Network." In Database Systems for Advanced Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18576-3_23.

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Shi, Chuan, and Philip S. Yu. "Recommendation with Heterogeneous Information." In Heterogeneous Information Network Analysis and Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56212-4_5.

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Chen, Yuxin, and Chenguang Wang. "HINE: Heterogeneous Information Network Embedding." In Database Systems for Advanced Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55753-3_12.

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Li, Xiangyu, and Weizheng Chen. "Label Preserved Heterogeneous Network Embedding." In Neural Information Processing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92270-2_11.

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Kong, Chao, Baoxiang Chen, Shaoying Li, Yifan Chen, Jiahui Chen, and Liping Zhang. "GNE: Generic Heterogeneous Information Network Embedding." In Web Information Systems and Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60029-7_11.

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Su, Yuan, Xi Zhang, Senzhang Wang, Binxing Fang, Tianle Zhang, and Philip S. Yu. "Understanding Information Diffusion via Heterogeneous Information Network Embeddings." In Database Systems for Advanced Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18576-3_30.

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Shi, Chuan, and Philip S. Yu. "Schema-Rich Heterogeneous Network Mining." In Heterogeneous Information Network Analysis and Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56212-4_7.

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Lang, Xiupu, and Lin Gui. "Design of Southbound Interfaces in Heterogeneous Software-Defined Satellite Networks." In Space Information Network. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1967-0_13.

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Torre, Roberto, Sreekrishna Pandi, and Frank H. P. Fitzek. "Network-Coded Multigeneration Protocols in Heterogeneous Cellular Networks." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05195-2_35.

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Hou, Yunpeng, Chao Wang, Huasen He, and Jian Yang. "Mobility Management in Low Altitude Heterogeneous Networks Using Reinforcement Learning Algorithm." In Space Information Network. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1967-0_9.

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Conference papers on the topic "Heterogenous information network"

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Tarek, Ali, Ayman El-Badawy, and Ansgar Meroth. "On the Stability of Formation Control for Heterogenous Systems under Network Imperfections." In 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2024. http://dx.doi.org/10.1109/codit62066.2024.10708164.

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Wu, Yueting, and Shuai Liu. "Meta structure over heterogeneous information network embedding." In Tenth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2024), edited by Yuanhao Wang and Cristian Paul Chioncel. SPIE, 2024. https://doi.org/10.1117/12.3050396.

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Wang, Kuangmeng, and Hong Zhang. "A Fast Heterogeneous Information Network Embedding Framework." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650394.

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Yin, Jiangyi, Yuchun Guo, and Yishuai Chen. "Heterogenous Information Network Embedding Based Cross-Domain Recommendation System." In 2019 International Conference on Data Mining Workshops (ICDMW). IEEE, 2019. http://dx.doi.org/10.1109/icdmw.2019.00060.

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Alqadah, Faris, and Raj Bhatnagar. "A game theoretic framework for heterogenous information network clustering." In the 17th ACM SIGKDD international conference. ACM Press, 2011. http://dx.doi.org/10.1145/2020408.2020547.

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Chen, Kang, and Dehong Qiu. "Combined Metapath Based Attention Network for Heterogenous Networks Node Classification." In AISS 2021: 2021 3rd International Conference on Advanced Information Science and System. ACM, 2021. http://dx.doi.org/10.1145/3503047.3503109.

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Wang, Hang, Wenkang Huang, Fengyi Li, and Qiuhui Shi. "Heterogenous Graph Network for Explainable Medical Event Identification." In 2022 Euro-Asia Conference on Frontiers of Computer Science and Information Technology (FCSIT). IEEE, 2022. http://dx.doi.org/10.1109/fcsit57414.2022.00044.

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Wang, Xiaoyan, Yan Dong, and Zailu Huang. "A utility oriented radio resource management algorithm for heterogenous network." In Second International Conference on Spatial Information Technology, edited by Cheng Wang, Shan Zhong, and Jiaolong Wei. SPIE, 2007. http://dx.doi.org/10.1117/12.773324.

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Su Yoon, Ji, Sun Moo Kang, Seong Bae Park, and Choong Seon Hong. "GDFed: Dynamic Federated Learning for Heterogenous Device Using Graph Neural Network." In 2023 International Conference on Information Networking (ICOIN). IEEE, 2023. http://dx.doi.org/10.1109/icoin56518.2023.10048926.

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Wu, Qiong, Xinmiao Lu, and Ya Wang. "Decision Algorithm for Heterogenous Internet of Vehicles." In Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019). Atlantis Press, 2019. http://dx.doi.org/10.2991/cnci-19.2019.91.

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Reports on the topic "Heterogenous information network"

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Milner, Stuart, Christopher C. Davis, Zygmunt J. Haas, and P. R. Kumar. Quantifying and Assuring Information Transfer in Dynamic Heterogeneous Wireless Networks. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada577180.

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Chakravarthy, S., and S. Varakala. Facilitating Intelligent Sharing of Information for Decision Making over Distributed Heterogeneous Network-Centric Environments. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada422606.

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