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Ranking-based classification of heterogeneous information networks

Ming Ji, Jiawei Han, Marina Danilevsky
2011 Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '11  
In this paper, we combine ranking and classification in order to perform more accurate analysis of a heterogeneous information network.  ...  It has been recently recognized that heterogeneous information networks composed of multiple types of nodes and links are prevalent in the real world.  ...  Since labels are given for selected authors and papers, the results on conferences of wvRN, nLB and LLGC can only be obtained by mining the original heterogeneous information network (denoted by A-C-P-T  ... 
doi:10.1145/2020408.2020603 dblp:conf/kdd/JiHD11 fatcat:rtmyo2v6ijc7fisz6qykdm5rku

Mining heterogeneous information networks

Jaiwei Han
2012 Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '12  
Step-by-Step Running of RankClus Time complexity: ~O(K|E|), where K is the number of clusters RankClass: Ranking-Based Classification in InfoNet  Meta Path: A Key to Mining Heterogeneous Information  ...   Exploring Rich Semantics of Structured Heterogeneous Networks  RankClus: Ranking-Based Clustering in InfoNet  RankClass: Ranking-Based Classification in InfoNet  Meta Path: A Key to Mining Heterogeneous  ...   Topological features encoded in meta-paths  Surprisingly rich knowledge can be mined from such structured heterogeneous info. networks  Clustering, ranking, classification, data cleaning, trust analysis  ... 
doi:10.1145/2339530.2339533 dblp:conf/kdd/Han12 fatcat:2kycyso37fgu5f5a2tai52bhem

Mining knowledge from interconnected data

Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu
2012 Proceedings of the VLDB Endowment  
In this tutorial, we view database and other interconnected data as heterogeneous information networks, and study how to leverage the rich semantic meaning of types of objects and links in the networks  ...  However, most people consider a database merely as a data repository that supports data storage and retrieval rather than one or a set of heterogeneous information networks that contain rich, inter-related  ...  Classification of heterogeneous information networks. Classification can also take advantage of links in heterogeneous information networks.  ... 
doi:10.14778/2367502.2367566 fatcat:q2yoxnqkendktob43l6y4p6o3i

Research-insight

Fangbo Tao, Lidan Wang, Tim Weninger, Xiao Yu, Kin Hou Lei, George Brova, Xiao Cheng, Jiawei Han, Rucha Kanade, Yizhou Sun, Chi Wang
2013 Proceedings of the 2013 international conference on Management of data - SIGMOD '13  
A database contains rich, inter-related, multi-typed data and information, forming one or a set of gigantic, interconnected, heterogeneous information networks.  ...  In this system demo, we take a computer science research publication network as an example, which is an information network derived from an integration of DBLP, other web-based information about researchers  ...  Ranking-Based Classification Classification can also take advantage of links in heterogeneous information networks.  ... 
doi:10.1145/2463676.2463689 dblp:conf/sigmod/TaoYLBCHKSWWW13 fatcat:emvwoxwvurce3mwqs6mmmrgauu

A Survey of Heterogeneous Information Network Analysis [article]

Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu
2015 arXiv   pre-print
In this paper, we provide a survey of heterogeneous information network analysis.  ...  Compared to widely studied homogeneous network, the heterogeneous information network contains richer structure and semantic information, which provides plenty of opportunities as well as a lot of challenges  ...  Recently, ranking-based clustering on heterogeneous information network has emerged, which shows its advantages on the mutual promotion of clustering and ranking.  ... 
arXiv:1511.04854v1 fatcat:n2k3sulq3fbq3e34lrfrv3uoou

Mining Knowledge from Data: An Information Network Analysis Approach

Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu
2012 2012 IEEE 28th International Conference on Data Engineering  
The topics to be covered include (i) database as an information network, (ii) mining information networks: clustering, classification, ranking, similarity search, and meta path-guided analysis, (iii) construction  ...  of quality, informative networks by data mining, (iv) trend and evolution analysis in heterogeneous information networks, and (v) research frontiers.  ...  Air Force Office of Scientific Research MURI award FA9550-08-1-0265, and MIAS, a DHS-IDS Center for Multimodal Information Access and Synthesis at UIUC.  ... 
doi:10.1109/icde.2012.145 dblp:conf/icde/HanSYY12 fatcat:3yobocvu4venromba6dcshtw2e

Mining knowledge from databases

Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu
2010 Proceedings of the 2010 international conference on Management of data - SIGMOD '10  
Actually, a database contains rich, inter-related, multi-typed data and information, forming one or a set of gigantic, interconnected, heterogeneous information networks.  ...  This tutorial presents an organized picture on how to turn a database into one or a set of organized heterogeneous information networks, how information networks can be used for data cleaning, data consolidation  ...  Classification of heterogeneous information networks (a) CrossMine: classification of cross-relational data sets (b) Exploring social tagging graph for web object classification (c) Effective classification  ... 
doi:10.1145/1807167.1807333 dblp:conf/sigmod/HanSYY10 fatcat:y3ozzuynxfb3rdtrbf3jldjkci

A Feature-Enhanced Ranking-Based Classifier for Multimodal Data and Heterogeneous Information Networks

Scott Deeann Chen, Ying-Yu Chen, Jiawei Han, Pierre Moulin
2013 2013 IEEE 13th International Conference on Data Mining  
We propose a heterogeneous information network mining algorithm: feature-enhanced RankClass (F-RankClass).  ...  RankClass performs ranking and classification at the same time on heterogeneous information networks.  ...  Heterogeneous Network Mining Heterogeneous information network mining algorithms gained a lot of attention recently.  ... 
doi:10.1109/icdm.2013.71 dblp:conf/icdm/ChenCHM13 fatcat:kdi6qxevufaivb3dq2o2dmjhjq

A Survey of Data Mining Techniques on Information Networks

Sadhana Kodali, Madhavi Dabbiru, B Thirumala Rao
2018 International Journal of Engineering & Technology  
The Data Mining techniques of both homogeneous and heterogeneous information networks are discussed in detail and a comparative study on each problem category is showcased.  ...  An Information Network is the network formed by the interconnectivity of the objects formed due to the interaction between them.  ...  Shape based similarity and classification is also an interesting area of research. Figure1:Figure2: Types of Information Networks.  ... 
doi:10.14419/ijet.v7i2.6.11267 fatcat:zavu7rli4ja2ne3nj6wiz4wxhi

Mining heterogeneous information networks

Yizhou Sun, Jiawei Han
2013 SIGKDD Explorations  
Most objects and data in the real world are of multiple types, interconnected, forming complex, heterogeneous but often semi-structured information networks.  ...  We view interconnected, multityped data, including the typical relational database data, as heterogeneous information networks, study how to leverage the rich semantic meaning of structural types of objects  ...  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

A Noval Weighted Meta Graph Method for Classification in Heterogeneous Information Networks

Jinli Zhang, Tong Li, Zongli Jiang, Xiaohua Hu, Ali Jazayeri
2020 Applied Sciences  
In this paper, a novel framework is proposed for the weighted Meta graph-based Classification of Heterogeneous Information Networks (MCHIN) to address these challenges.  ...  There has been increasing interest in the analysis and mining of Heterogeneous Information Networks (HINs) and the classification of their components in recent years.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app10051603 fatcat:vmqzmiwi3rfmjd54korum3tpkm

Discovering cooperative biomarkers for heterogeneous complex disease diagnoses

Duanchen Sun, Xianwen Ren, Eszter Ari, Tamas Korcsmaros, Peter Csermely, Ling-Yun Wu
2017 Briefings in Bioinformatics  
Techniques integrating gene expression profiles and biological networks for the identification of network-based disease biomarkers are receiving increasing interest.  ...  The biomarkers for heterogeneous diseases often exhibit strong cooperative effects, which implies that a set of genes may achieve more accurate outcome prediction than any single gene.  ...  may greatly hinder the effectiveness of network-based gene ranking methods.  ... 
doi:10.1093/bib/bbx090 pmid:28968712 fatcat:lqh7slzbgjf5zbgakeleewdbfy

A Heterogeneous Branch and Multi-Level Classification Network for Person Re-Identification

Jiabao Wang, Yang Li, Yangshuo Zhang, Zhuang Miao, Rui Zhang
2020 Neurocomputing  
In order to improve this problem, we propose a novel Heterogeneous Branch and Multi-level Classification Network (HBMCN), which is designed based on the pre-trained ResNet-50 model.  ...  A new heterogeneous branch, SE-Res-Branch, is proposed based on the SE-Res module, which consists of the Squeeze-and-Excitation block and the residual block.  ...  Conclusion In this paper, we proposed a heterogeneous branch and multi-level classification network based on ResNet-50, and explored its priority.  ... 
doi:10.1016/j.neucom.2020.05.007 fatcat:4mpcmkletjhcpofgonj5taemwm

Pre-Trained Models for Heterogeneous Information Networks [article]

Yang Fang, Xiang Zhao, Yifan Chen, Weidong Xiao, Maarten de Rijke
2021 arXiv   pre-print
In network representation learning we learn how to represent heterogeneous information networks in a low-dimensional space so as to facilitate effective search, classification, and prediction solutions  ...  We propose a self-supervised pre-training and fine-tuning framework, PF-HIN, to capture the features of a heterogeneous information network.  ...  INTRODUCTION Complex information often involves multiple types of objects and relations. Such information can be represented via heterogeneous information networks (HINs) [1] .  ... 
arXiv:2007.03184v2 fatcat:mne2ttzszrgpdpqs5oxo72bl24

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  
of heterogeneous networks.  ...  Compared with the homogeneous networks, community detection based on the heterogeneous networks could obtain more accurate community structure.  ...  Recently, ranking-based clustering on heterogeneous information network has emerged, which shows its advantages on the mutual promotion of clustering and ranking. Sun et al.  ... 
doi:10.12783/dtcse/aiea2017/14989 fatcat:po3qfpfv3zbbjl4vqld53ewf7a
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