A Simple Relational Classifier

Cited by (255)

Items 101–200 of 255

1. Graph alternate learning for robust graph neural networks in node classification
   Baoliang Zhang, Xiaoxin Guo, Zhenchuan Tu, Jia Zhang · 2022 · Neural Computing and Applications
2. Collective inference for network data with copula latent markov networks
   Rongjing Xiang, Jennifer Neville · 2013 · ACM International Conference on Web Search and Data Mining (WSDM)
3. Classification by multi-semantic meta path and active weight learning in heterogeneous information networks
   Yongping Du, Wenyang Guo, Jingxuan Liu, Changqing Yao · 2019 · Expert Systems with Applications
4. Scalable learning of users' preferences using networked data
   Mohammad Ali Abbasi, Jiliang Tang, Huan Liu · 2014 · ACM Conference on Hypertext and Social Media (HT)
5. TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial
   Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan Qi · 2019 · arXiv (Cornell University)
6. Within-Network Classification Using Radius-Constrained Neighborhood Patterns
   Jialong Han, Ji-Rong Wen, Jian Pei · 2014 · ACM International Conference on Information and Knowledge Management (CIKM)
7. Classification and annotation in social corpora using multiple relations
   Yann Jacob, Ludovic Denoyer, Patrick Gallinari · 2011 · ACM International Conference on Information and Knowledge Management (CIKM)
8. Exploiting Network Structure for Active Inference in Collective Classification
   Matthew J. Rattigan, Marc E. Maier, David D. Jensen · 2007 · IEEE ... International Conference on Data Mining workshops
9. Leveraging Network Properties for Trust Evaluation in Multi-agent Systems
   Xi Wang, Mahsa Maghami, Gita Sukthankar · 2011 · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
10. Towards Deep Federated Defenses Against Malware in Cloud Ecosystems
    Josh Payne, Ashish Kundu · 2019 · IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)
11. Node classification in uncertain graphs
    Michele Dallachiesa, Charų C. Aggarwal, Themis Palpanas · 2014 · International Conference on Scientific and Statistical Database Management
12. Using Node Identifiers and Community Prior for Graph-Based Classification
    Qi Ye, Changlei Zhu, Gang Li, Zhimin Liu, Feng Wang · 2018 · Data Science and Engineering
13. Group Anomaly Detection: Past Notions, Present Insights, and Future Prospects
    Aqeel Feroze, Ali Yusny Daud, Tehmina Amjad, Malik Khizar Hayat · 2021 · SN Computer Science
14. Iterative Multi-label Multi-relational Classification Algorithm for complex social networks
    Stéphane Peters, Yann Jacob, Ludovic Denoyer, Patrick Gallinari · 2011 · Social Network Analysis and Mining
15. A multi-resolution approach to learning with overlapping communities
    Lei Tang, Xufei Wang, Huan Liu, Lei Wang · 2010
16. Suspicion scoring based on guilt-by-association, colle ctive inference, and focused data access 1
    Sofus A. Macskassy, Foster John Provost · 2005
17. Mining Telecommunication Networks to Enhance Customer Lifetime Predictions
    Aimée Backiel, B. Baesens, G. Claeskens · 2014 · International Conference on Artificial Intelligence and Soft Computing
18. Deep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs
    Josh Payne · 2019 · arXiv (Cornell University)
19. Learning from Labeled and Unlabeled Vertices in Networks
    Wei Ye, Linfei Zhou, Dominik Mautz, Claudia Plant, Christian Böhm · 2017 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
20. Survey on Social Networks Data Analysis
    Soufiene Jaffali, Salma Jamoussi, Nesrine Khelifi, Abdelmajid Ben Hamadou · 2019 · Communications in computer and information science
21. An on-line sequential learning method in social networks for node classification
    Yongjiao Sun, Ye Yuan, Guoren Wang · 2014 · Neurocomputing
22. Relational Learning with Social Status Analysis
    Liang Wu, Xia Hu, Huan Liu · 2016 · ACM International Conference on Web Search and Data Mining (WSDM)
23. Multi-label relational classification via node and label correlation
    Zan Zhang, Hao Wang, Lin Liu, Jiuyong Li · 2018 · Neurocomputing
24. Integrating Local Vertex/Edge Embedding via Deep Matrix Fusion and Siamese Multi-label Classification
    Yang Zhou, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang · 2019 · IEEE International Conference on Big Data (BigData)
25. Weakly Supervised Classification of Objects in Images Using Soft Random Forests
    Riwal Lefort, Ronan Fablet, Jean‐Marc Boucher · 2010 · Lecture notes in computer science
26. Unsupervised Opinion Phrase Extraction and Rating in Chinese Blog Posts
    Jenq‐Haur Wang, Chi‐Ching Lee · 2011 · International Conference on Social Computing
27. Learning Numerical Attributes in Knowledge Bases
    Bhushan Kotnis, Alberto García-Durán · 2019 · Automated Knowledge Base Construction
28. Learning with large-scale social media networks
    Huan Liu, Lei Tang · 2010
29. Understanding and Predicting Weight Loss with Mobile Social Networking Data
    Wang, Zhiwei, Derr, Tyler, Yin, Dawei, Tang, Jiliang · 2017 · Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
30. Active Exploration in Networks
    Joseph J. Pfeiffer, Jennifer Neville, Paul N. Bennett · 2014 · ACM International Conference on Information and Knowledge Management (CIKM)
31. Twin Kernel Embedding with Back Constraints
    Yi Guo, Paul Kwan, Junbin Gao · 2007 · IEEE ... International Conference on Data Mining workshops
32. Topological Feature Based Classification
    Leto Peel · 2011 · arXiv (Cornell University)
33. Collective behavior learning by differentiating personal preference from peer influence
    Zan Zhang, Lin Liu, Hao Wang, Jiuyong Li, Daning Hu, Jiaqi Yan, René Algesheimer, Markus Meierer · 2018 · Knowledge-Based Systems
34. Shared-Memory Branch-and-Reduce for Multiterminal Cuts
    Monika Rauch Henzinger, Alexander Noe, Christian Schulz · 2019 · Society for Industrial and Applied Mathematics eBooks
35. Identifying Covert Sub-Networks Through Iterative Node Classification
    Aram Galstyan, Paul R. Cohen, Marina del Rey · 2005
36. Probabilistic Inference over Image Networks
    Claudio Taranto, Nicola Di Mauro, Floriana Esposito · 2011 · Communications in computer and information science
37. GA-TVRC-Het: genetic algorithm enhanced time varying relational classifier for evolving heterogeneous networks
    İsmail Güneş, Zehra Çataltepe, Şule Gündüz Öğüdücü · 2013 · Data Mining and Knowledge Discovery
38. Privacy Leakage via Attribute Inference in Directed Social Networks
    Raymond K. Wong, B. S. Vidyalakshmi · 2016 · Lecture notes in computer science
39. Semi-supervised Classification-based Local Vertex Ranking via Dual Generative Adversarial Nets
    Yang Zhou, Jiaxiang Ren, Sixing Wu, Dejing Dou, Ruoming Jin, Zijie Zhang, Pengwei Wang · 2019 · IEEE International Conference on Big Data (BigData)
40. Discovering miRNAs Associated With Multiple Sclerosis Based on Network Representation Learning and Deep Learning Methods
    Xiaoping Sun, Xingshuai Ren, Jie Zhang, Yunzhi Nie, Shan Hu, Xiao Jing Yang, Shoufeng Jiang · 2022 · Frontiers in Genetics
41. Signal/Collect12
    Philip Stutz, Daniel D. Strebel, Abraham Bernstein · 2016 · Semantic Web
42. Preprocessing Uncertain User Profile Data: Inferring User's Actual Age from Ages of the User's Neighbors
    Sung-Hyuk Park, Sang Pil Han, Soon Young Huh, Ho‐Jin Lee · 2009 · IEEE International Conference on Data Engineering (ICDE)
43. Simple Models and Classification in Networked Data
    Sofus A. Macskassy, Foster John Provost · 2004 · Faculty Digital Archive (New York University Florence)
44. Link Prediction-Based Multi-label Classification on Networked Data
    Yinfeng Zhao, Lei Li, Xindong Wu · 2016 · IEEE International Conference on Data Science in Cyberspace
45. Predictive Semantic Social Media Analysis
    David Alfred Ostrowski · 2011 · IEEE International Conference on Semantic Computing (ICSC)
46. Clustering high dimensional data
    Hans‐Peter Kriegel, Eirini Ntoutsi · 2014 · ACM SIGKDD Explorations Newsletter
47. Inference network building and movements prediction based on analysis of induced dependencies
    Lin Guo, Wanli Zuo, Tao Peng · 2016 · IET Software
48. Joint Label Inference in Networks
    Deepayan Chakrabarti, Stanislav Funiak, Jonathan Chang, Sofus A. Macskassy · 2018 · International World Wide Web Conference (WWW)
49. Multi-label classification via learning a unified object-label graph with sparse representation
    Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Byron J. Gao, Xue Li, Sen Wang · 2015 · World Wide Web
50. Second-Order Markov Assumption Based Bayes Classifier for Networked Data With Heterophily
    Sa Dong, Dayou Liu, Ruochuan Ouyang, Yungang Zhu, Lina Li, Tingting Li, Jie Liu · 2019 · IEEE Access
51. Inferring useful heuristics from the dynamics of iterative relational classifiers
    Aram Galstyan, Paul R. Cohen · 2005 · International Joint Conference on Artificial Intelligence
52. Bias-free hypothesis evaluation in multirelational domains
    Christine Körner, Stefan Wrobel · 2005
53. Node classification over bipartite graphs through projection
    Marija Stankova, Stiene Praet, David Martens, Foster John Provost · 2020 · Machine Learning
54. CHIN: Classification with META-PATH in Heterogeneous Information Networks
    Jinli Zhang, Zongli Jiang, Tong Li · 2018 · Communications in computer and information science
55. Random forest for relational classification with application to terrorist profiling
    Jian Xu, Jianhua Chen, Бин Ли · 2009 · IEEE International Conference on Granular Computing (GrC)
56. Graph-based cross-validated committees ensembles
    Nils Murrugarra-Llerena, Lilian Berton, Alneu de Andrade Lopes · 2012 · International Conference on Computational Aspects of Social Networks (CASoN)
57. Computing Distrust in Social Media
    Jiliang Tang · 2015
58. Redes complexas para classificação de dados via conformidade de padrão, caracterização de importância e otimização estrutural
    Murillo Guimarães Carneiro · 2017
59. Multi-relational Classification Based on the Contribution of Tables
    Yun Li, Luan Luan, Yan Sheng, Yunhao Yuan · 2009
60. Structural Recommendations in Networks
    Charų C. Aggarwal · 2016 · Springer eBooks
61. User Attribute Inference in Directed Social Networks as a Service
    B. S. Vidyalakshmi, Raymond K. Wong, Chi‐Hung Chi · 2016 · IEEE International Conference on Services Computing
62. Extracting Social Dimensions Using Fiedler Embedding
    Xi Wang, Gita Sukthankar · 2011 · International Conference on Social Computing
63. Network Sampling Based on Centrality Measures for Relational Classification
    Lilian Berton, Didier A. Vega‐Oliveros, Jorge Valverde-Rebaza, André Tavares da Silva, Alneu de Andrade Lopes · 2017 · Communications in computer and information science
64. Understanding the mechanism of social tie in the propagation process of social network with communication channel
    Kai Li, Guangyi Lv, Zhefeng Wang, Qi Liu, Enhong Chen, Lisheng Qiao · 2018 · Frontiers of Computer Science
65. Homophily of Neighborhood in Graph Relational Classifier
    Peter Vojtek, Mária Bieliková · 2009 · Lecture notes in computer science
66. Fuzzy clustering and iterative relational classification for terrorist profiling
    Jianhua Chen, Jian Xu, Peter Chen, Guoli Ding, Robert F. Lax, Brian D. Marx · 2008 · IEEE International Conference on Granular Computing (GrC)
67. Predicting preferred topics of authors based on co-authorship network
    Nguyen Le Hoang, Pham Vu Dang Khoa, Do Phuc · 2013 · RIVF International Conference on Computing and Communication Technologies (RIVF)
68. Single Network Relational Transductive Learning
    Amit Dhurandhar, Jianping Wang · 2013 · Journal of Artificial Intelligence Research
69. Toward Interactive Relational Learning
    Ryan A. Rossi, Rong Zhou · 2016 · Proceedings of the AAAI Conference on Artificial Intelligence
70. Exploit Label Embeddings for Enhancing Network Classification
    Yiqi Chen, Tieyun Qian, Ming Zhong, Xuhui Li · 2017 · Lecture notes in computer science
71. Hierarchy construction and classification of heterogeneous information networks based on RSDAEf
    Jinli Zhang, Zongli Jiang, Yongping Du, Tong Li, Yida Wang, Xiaohua Hu · 2020 · Data & Knowledge Engineering
72. Local Soft Belief Updating for Relational Classification
    Guoli Ding, Robert F. Lax, Jianhua Chen, Peter Chen, Brian D. Marx · 2008 · Springer eBooks
73. Extracting Geospatial Preferences Using Relational Neighbors
    Leandro Balby Marinho, Baptista, Cláudio de Souza, Thomas E. Sandholm, Iury Nunes, Caio Nóbrega, Jordão Araújo · 2012 · Journal of Information and Data Management
74. Validation of Network Classifiers
    James Li, Abdullah Sonmez, Zehra Çataltepe, Eric T. Bax · 2012 · Lecture notes in computer science
75. Towards cautious collective inference for object verification
    Jose Oramas M., Luc De Raedt, Tinne Tuytelaars · 2014 · IEEE Winter Conference on Applications of Computer Vision
76. Feature enrichment and selection for transductive classification on networked data
    Zehra Çataltepe, Abdullah Sonmez, Baris Senliol · 2013 · Pattern Recognition Letters
77. Iterative classification for multiple target attributes
    Hongyu Guo, Sylvain Létourneau · 2012 · Journal of Intelligent Information Systems
78. Relational Classification Through Three¿State Epidemic Dynamics
    Aram Galstyan, Paul R. Cohen · 2006 · International Conference on Information Fusion (FUSION)
79. Multi-Relational Learning for Genetic Data: Issues and Challenges
    Claudia Perlich, Srujana Merugu · 2005
80. Graph Based Relational Features for Collective Classification
    Immanuel Bayer, Uwe Nagel, Steffen Rendle · 2015 · Lecture notes in computer science
81. Multi-opinion Ring: visualizing and predicting multiple opinion orientations in online social media
    Xiaolin Du, Yunming Ye, Raymond Y.K. Lau, Yueping Li, Xiaohui Huang · 2015 · Multimedia Tools and Applications
82. Predicting Topics of Scientific Papers from Co-Authorship Graphs: a Case Study
    Susanne Hoche, Peter A. Flach · 2006
83. Mining Telecommunication Networks to Enhance Customer Lifetime Predictions
    Backiel Aimée, Bart Baesens, Gerda Claeskens · 2014 · SSRN Electronic Journal
84. Methods for Learning to Quantify
    Andrea Esuli, Alessandro Fabris, Alejandro Moreo, Fabrizio Sebastiani · 2023 · The information retrieval series
85. Improving Relational Classification Using Link Prediction Techniques
    Cristina Pérez‐Solà, Jordi Herrera‐Joancomartí · 2013 · Lecture notes in computer science
86. Modeling complex networks for electronic commerce
    Foster John Provost, Arun Sundararajan · 2007 · ACM Conference on Electronic Commerce (EC)
87. On the utility of abstraction in labeling actors in social networks
    Ngot Bui, Vasant Honavar · 2013 · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
88. Gene classification
    Claudia Perlich, Srujana Merugu · 2005
89. User Age Profile Assessment Using SMS Network Neighbors' Age Profiles
    Sung-Hyuk Park, Ho-Jin Lee, Sang-Pil Han, Donghoon Lee · 2009 · International Conference on Advanced Information Networking and Applications Workshops (WAINA)
90. Overlap-Robust Decision Boundary Learning for Within-Network Classification
    Sharad Nandanwar, Musti Narasimha Murty · 2018 · Proceedings of the AAAI Conference on Artificial Intelligence
91. Learning edge weights in file co-occurrence graphs for malware detection
    Weixuan Mao, Zhongmin Cai, Bo Zeng, Xiaohong Guan · 2018 · Data Mining and Knowledge Discovery
92. A Noval Weighted Meta Graph Method for Classification in Heterogeneous Information Networks
    Jinli Zhang, Tong Li, Zongli Jiang, Xiaohua Hu, Ali Reza Jazayeri · 2020 · Applied Sciences
93. Multi-Objective Optimization-Based Networked Multi-Label Active Learning
    Lei Li, Yuqi Chu, Guanfeng Liu, Xindong Wu · 2019 · Journal of Database Management
94. k-NN Ensemble DARA Approach to Learning Relational
    Rayner Alfred, Kung Ke Shin, Kim On Chin, HuiKeng Lau, Mohd Hanafi Ahmad Hijazi · 2019 · Lecture notes in electrical engineering
95. Efficient label propagation for classification on information networks
    Nguyễn Thị Kim Ánh, Minh Thành Vu, Linh Ngo Van · 2012 · International Symposium on Information and Communication Technology
96. Scaling Graph Propagation Kernels for Predictive Learning
    Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Srinivasan Parthasarathy, Balaraman Ravindran · 2022 · Frontiers in Big Data
97. Assessing Information Influence for Node Attribute Prediction
    Tonni Das Jui, Erich Baker, Mary Lauren Benton · 2025 · Communications in computer and information science
98. Efficient quantification on large-scale networks
    Alessio Micheli, Alejandro Moreo, Marco Podda, Fabrizio Sebastiani, William Simoni, Domenico Tortorella · 2025 · Machine Learning
99. A space-filling sampling approach for collective classification of social media data
    Emiliano del Gobbo, Lara Fontanella, Luigi Ippoliti, Simone Di Zio, Sara Fontanella, Alex Cucco · 2026 · Advances in Data Analysis and Classification
100. A Fast Algorithm for Predicting Topics of Scientific Papers Based on Co-authorship Graph Model
     Nhut Truong Hoang, Phuc Do, Hoang Nguyen Le · 2012 · Studies in computational intelligence