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Mining heterogeneous information networks

Yizhou Sun, Jiawei Han
2013 SIGKDD Explorations  
and links in the networks, and develop a structural analysis approach on mining semi-structured, multi-typed heterogeneous information networks.  ...  Most objects and data in the real world are of multiple types, interconnected, forming complex, heterogeneous but often semi-structured information networks.  ...  Based on our research into mining heterogeneous information networks, especially our studies on ranking-based clustering [19; 22] , ranking-based classification [10; 9], meta-path-based similarity search  ... 
doi:10.1145/2481244.2481248 fatcat:ovj4ra5qqjb6xjoox64ctdlfwm

NewsNetExplorer

Fangbo Tao, Yizhou Sun, George Brova, Jiawei Han, Heng Ji, Chi Wang, Brandon Norick, Ahmed El-Kishky, Jialu Liu, Xiang Ren
2014 Proceedings of the 2014 ACM SIGMOD international conference on Management of data - SIGMOD '14  
and topical structures and rich-text, such as cell summary, single dimension analysis, and promotion analysis, (ii) a set of network-based operations, such as similarity search and ranking-based clustering  ...  In our view, news data contains rich, inter-related and multi-typed data objects, forming one or a set of gigantic, interconnected, heterogeneous information networks.  ...  Our recent studies develop a ranking-based clustering approach, represented by RankClus [6] and NetClus [7] , that generates interesting results for both clustering and ranking efficiently.  ... 
doi:10.1145/2588555.2594537 dblp:conf/sigmod/TaoBHJWNELRS14 fatcat:iqzfctmbvvba7d3gxrirds4ahu

A Survey of Heterogeneous Information Network Analysis [article]

Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu
2015 arXiv   pre-print
Recently, more and more researchers begin to consider these interconnected, multi-typed data as heterogeneous information networks, and develop structural analysis approaches by leveraging the rich semantic  ...  We will introduce basic concepts of heterogeneous information network analysis, examine its developments on different data mining tasks, discuss some advanced topics, and point out some future research  ...  In addition, a general method HeProjI is proposed to do ranking based clustering in heterogeneous networks with arbitrary schema by projecting the network into a sequence of subnetworks [80] .  ... 
arXiv:1511.04854v1 fatcat:n2k3sulq3fbq3e34lrfrv3uoou

Community Detection of Heterogeneous Networks with RankClus Based on Spark GraphX

YU YANG, YONG GUO, BO DENG, HAILONG LI
2017 DEStech Transactions on Computer Science and Engineering  
Compared with the homogeneous networks, community detection based on the heterogeneous networks could obtain more accurate community structure.  ...  Firstly, we improve and optimize the RankClus algorithm for community detection in heterogeneous networks. Then, we parallelize the improved algorithm based on spark graphx.  ...  [17] propose a general method HeProjI to do ranking based clustering in heterogeneous networks with arbitrary schema by projecting the network into a sequence of sub -networks. Chen et al.  ... 
doi:10.12783/dtcse/aiea2017/14989 fatcat:po3qfpfv3zbbjl4vqld53ewf7a

SentenceLDA- and ConNetClus-Based Heterogeneous Academic Network Analysis for Publication Ranking

Jinsong Zhang, Bao Jin, Junyi Sha, Yan Chen, Yijin Zhang
2022 Algorithms  
In this paper, we first identify internal and external factors for evaluating scientific papers and propose a publication ranking method based on an analysis of a heterogeneous academic network.  ...  We then use the Gibbs sampling method to create a heterogeneous academic network and apply the ConNetClus algorithm to calculate the probability value of publication ranking.  ...  Informed Consent Statement: Not applicable. Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/a15050159 fatcat:rf6swp6iibgonfhff5k3hwu6uy

Predicting miRNA-based disease-disease relationships through network diffusion on multi-omics biological data

Marissa Sumathipala, Scott T. Weiss
2020 Scientific Reports  
The MAP method applies a network diffusion approach, starting from the known disease genes in a heterogenous network constructed from miRNA-gene associations, protein-protein interactions, and gene-disease  ...  Validation using experimental data on miRNA-disease associations demonstrated superior performance to two current state-of-the-art methods, with areas under the ROC curve all over 0.8 for four types of  ...  We acknowledge the support by National Institutes of Health (NIH) grant P01 HL13285.  ... 
doi:10.1038/s41598-020-65633-6 pmid:32457435 fatcat:53qe5gisa5eyzpoes7t5tvyonq

WINACS

Tim Weninger, David McCloskey, Yizhou Sun, Nathan E. TeGrotenhuis, Chi Wang, Xiao Yu, Marina Danilevsky, Fabio Fumarola, Joshua Hailpern, Jiawei Han, Thomas J. Johnston, Surya Kallumadi (+2 others)
2011 Proceedings of the 2011 international conference on Management of data - SIGMOD '11  
network and to discover, retrieve, rank, cluster, and analyze such an information network.  ...  WINACS (Web-based Information Network Analysis for Computer Science) is a project that incorporates many recent, exciting developments in data sciences to construct a Web-based computer science information  ...  Ranking-based Clustering A heterogeneous information network is an information network composed of multiple types of objects.  ... 
doi:10.1145/1989323.1989469 dblp:conf/sigmod/WeningerDFHHJKKLMSTWY11 fatcat:ppjncso7lfcyxiynjldaa7vw5u

Heterogeneous information network based clustering for precision traditional Chinese medicine

Xintian Chen, Chunyang Ruan, Yanchun Zhang, Huijuan Chen
2019 BMC Medical Informatics and Decision Making  
Heterogeneous information networks (HINs) are a kind of graphical model for integrating and modeling real-world information.  ...  Through HINs, we can integrate and model the large-scale heterogeneous TCM data into structured graph data and use this as a basis for analysis.  ...  Further, clustering on heterogeneous information networks has received attention.  ... 
doi:10.1186/s12911-019-0963-0 pmid:31856802 pmcid:PMC6921410 fatcat:oxsuqq2cpnb4be6sgrdiqenjci

Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings [article]

Huan Gui, Qi Zhu, Liyuan Liu, Aston Zhang, Jiawei Han
2018 arXiv   pre-print
We study the task of expert finding in heterogeneous bibliographical networks based on two aspects: textual content analysis and authority ranking.  ...  In addition, different types of objects interact with one another, which naturally forms heterogeneous information networks.  ...  We first present the ranking method in a general framework, which can be generalized for other heterogeneous information networks.  ... 
arXiv:1803.03370v1 fatcat:sonvdldbkjaxzlckigevhmsaeq

Open MPI: A High-Performance, Heterogeneous MPI

Richard Graham, Galen Shipman, Brian Barrett, Ralph Castain, George Bosilca, Andrew Lumsdaine
2006 2006 IEEE International Conference on Cluster Computing  
The growth in the number of generally available, distributed, heterogeneous computing systems places increasing importance on the development of user-friendly tools that enable application developers to  ...  Run-Time Environment heterogeneity Executing a job across multiple resources (e.g., multiple clusters) that are locally administered by possibly different scheduling systems, authentication realms, etc  ...  Acknowledgments Project support was provided through the United States Department of Energy, National Nuclear Security Administration's ASCI/PSE program and the Los Alamos Computer Science Institute; a  ... 
doi:10.1109/clustr.2006.311904 dblp:conf/cluster/GrahamSBCBL06 fatcat:shjnyosm3re2dhcnqcrifcltdq

A Tensor CP Decomposition Method for Clustering Heterogeneous Information Networks via Stochastic Gradient Descent Algorithms

Jibing Wu, Zhifei Wang, Yahui Wu, Lihua Liu, Su Deng, Hongbin Huang
2017 Scientific Programming  
Some recent studies focused on heterogeneous information networks and yielded some research fruits, such as RankClus and NetClus.  ...  The experimental results on both synthetic datasets and real-world dataset have demonstrated that our proposed clustering framework can model heterogeneous information networks efficiently and outperform  ...  Acknowledgments This study was supported by the National Natural Science Foundation of China (no. 61401482 and no. 61401483).  ... 
doi:10.1155/2017/2803091 fatcat:ltrtxfvoczfjtlxymeocktwhaq

BibNetMiner

Yizhou Sun, Tianyi Wu, Zhijun Yin, Hong Cheng, Jiawei Han, Xiaoxin Yin, Peixiang Zhao
2008 Proceedings of the 2008 ACM SIGMOD international conference on Management of data - SIGMOD '08  
In this demo, we will take the DBLP database as an example, demonstrate several attractive functions of BibNetMiner, including clustering, ranking and profiling of conferences and authors based on the  ...  Since the dataset is large and the network is heterogeneous, such a study will benefit the research on the analysis of massive heterogeneous information networks.  ...  Both ranking and clustering can provide general views on information network data, and each of which has been a hot topic by itself.  ... 
doi:10.1145/1376616.1376770 dblp:conf/sigmod/SunWYCHYZ08 fatcat:pmqamjq3pfgjhnh2wy4y47thsq

Editorial: Special Issue on Resource and Mobility Management and Cross-Layer Design for the Support of Multimedia Services in Heterogeneous Emerging Wireless Networks

Tasos Dagiuklas, Christos Politis, Jonathan Rodriguez
2008 Wireless personal communications  
Their approach uses the neighbor network information to generate timely the link triggers  ...  They study the scalability of routing schemes for ad-hoc networks using explicit clustering.  ...  At first, the candidate networks are ranked by each decision factor and multiple decision factor based ranking lists are obtained accordingly.  ... 
doi:10.1007/s11277-008-9635-6 fatcat:ocx7fh7fhndpxi5lwkeyljdiua

Special issue on 'Network Analysis' Preface by the Guest Editors

Anuška Ferligoj, Vladimir Batagelj
2011 Advances in Data Analysis and Classification  
In this context a Workshop on Social Network Analysis: Models and Methods for Relational Data (ARS'09) was held at the University of Salerno (Italy) on 13  ...  Already in 1978 the International Network for Social Network Analysis (INSNA) was formed in order to foster exchange of information and mutual intellectual support.  ...  The paper on 'Network ensemble clustering using latent roles', written by Ulrik Brandes, Jürgen Lerner, and Uwe Nagel, presents a method for graph classification based on the assumption that members of  ... 
doi:10.1007/s11634-011-0089-4 fatcat:vkhhdby6fvho3bzvk6vmybdycq

Unsupervised Domain Adaptation for Person Re-identification via Heterogeneous Graph Alignment

Minying Zhang, Kai Liu, Yidong Li, Shihui Guo, Hongtao Duan, Yimin Long, Yi Jin
2021 AAAI Conference on Artificial Intelligence  
The proposed domain adaptation framework not only improves model generalization on target domain, but also facilitates mining and integrating the potential discriminative information across different cameras  ...  In this paper, we propose a coarse-tofine heterogeneous graph alignment (HGA) method to find cross-camera person matches by characterizing the unlabeled data as a heterogeneous graph for each camera.  ...  Acknowledgements This work is supported in part by the Fundamental Research Funds for the Central Universities of China under Grant 2019YJS032 and in part by the National Natural Science Foundation of  ... 
dblp:conf/aaai/ZhangLLGDLJ21 fatcat:6bjsjasfbzftrgiieuvknqdx6y
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