A Simple Relational Classifier

Macskassy, Sofus A., Provost, Foster·2003
DOI 10.21236/ada452802

Cited by (255)

Items 201–255 of 255

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  5. k-Nearest Neighbour Using Ensemble Clustering Based on Feature Selection Approach to Learning Relational Data
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  6. Behavior-Based Collective Classification in Sparsely Labeled Networks
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  7. Combining Node Identifier Features and Community Priors for Within-Network Classification
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  9. The Case for Quantification
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  11. Labeling Actors in Social Networks Using a Heterogeneous Graph Kernel
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  12. Incremental Learning with Social Media Data to Predict Near Real-Time Events
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  13. SAINT: Supervised Actor Identification for Network Tuning
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  14. Privacy Issues in Social Networks
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  16. Machine learning in complex networks: modeling, analysis, and applications
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  17. Classificação de dados estacionários e não estacionários baseada em grafos
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  18. Iterative Relational Classification Through Three–State Epidemic Dynamics
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  19. Association Rule Mining of Relational Data
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  20. Leveraging Structure to Improve Classification Performance in Sparsely Labeled Networks
    Brian J. Gallagher, Tina Eliassi‐Rad · 2007
  21. Moderated Class–Membership Interchange in Iterative Multi–relational Graph Classifier
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  23. Approaching the ILP 2005 Challenge: Class-Conditional Bayesian Propositionalization for Genetic Classification
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  24. Addressing Object Heterogeneity Through Edge Cluster in Multi-mode Networks
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  25. On Member Labelling in Social Networks
    Rafael Corchuelo, Antonia M. Reina Quintero, Patricia Jiménez · 2015 · Lecture notes in computer science
  26. Learning to Extract Relations for Relational Classification
    Steffen Rendle, Christine Preisach, Lars Schmidt-Thieme · 2009 · Lecture notes in computer science
  27. Integrating prior knowledge into factorization approaches for relational learning
    Xueyan Jiang · 2014 · Elektronische Hochschulschriften der LMU München (Ludwig-Maximilians-Universität München)
  28. Computationally efficient scoring of activity using demographics and connectivity of entities
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  29. NetKit-SRL: A Toolkit for Network Learning and Inference -- and its use for classification of networked data
    Sofus A. Macskassy, Foster John Provost · 2005
  30. A new hybrid collective classification method based on random walk and link pattern
    Lina Li, Jihong Ouyang, Dayou Liu, Hong Qi, Huiling Chen · 2011 · IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)
  31. Social Dimensions Based On Scalable Learning of Collective Behavior
    Y. Rama Krishna, Ravi Kumar V. · 2012
  32. Graph-based Classification on Heterogeneous Information Networks
    Ji Ming, Yizhou Sun, Marina Danilevsky, Jiawei Han · 2010 · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
  33. Masking and labeling problems in social network data management
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  34. Network-Based Supervised Learning
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  35. Two-phase network generation towards within-network classifiers evaluation
    L. K. Li, Junyi Xu, Xiang Hui Zhao, Weidong Xiao, Shengze Hu · 2017 · Knowledge-Based Systems
  36. Context-based object viewpoint estimation: A 2D relational approach
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  37. SLICE: Structural and Label Information Combined Embedding for Networks
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  38. Attribute-Based Decision Graphs and Their Roles in Machine Learning Related Tasks
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  39. Exploiting Instance Relationship for Effective Extreme Multi-label Learning
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  40. Which Type of Classifier to Use for Networked Data, Connectivity Based or Feature Based?
    Zan Zhang, Jiuyong Li, Hao Wang, Lin Liu, Jixue Liu · 2018 · Lecture notes in computer science
  41. Improving Classification Quality in Uncertain Graphs
    Michele Dallachiesa, Charų C. Aggarwal, Themis Palpanas · 2019 · Journal of Data and Information Quality
  42. Tutorial on NLP-Inspired Network Embedding
    Boaz Shmueli · 2019 · arXiv (Cornell University)
  43. Data-Driven Link Screening for Increasing Network Predictability
    Tomer Geva, Inbal Yahav · 2019 · IEEE Transactions on Knowledge and Data Engineering
  44. MANELA: A Multi-Agent Algorithm for Learning Network Embeddings
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  45. Decoupled Smoothing in Probabilistic Soft Logic
    Yatong Chen, Byran Tor, Eriq Augustine, Lise C. Getoor · 2020 · Mining and Learning with Graphs
  46. Algorithm Engineering for Cut Problems
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  47. Advanced Techniques
    Leandro Balby Marinho, Andreas Hotho A, Robert Jäschke, Αλέξανδρος Νανόπουλος, Steffen Rendle, Lars Schmidt-Thieme, Gerd Stumme A, Panagiotis Symeonidis · 2012 · Springer eBooks
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  49. Evaluation of Quantification Algorithms
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  50. Advanced Topics
    Andrea Esuli, Alessandro Fabris, Alejandro Moreo, Fabrizio Sebastiani · 2023 · The information retrieval series
  51. The Road Ahead
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  52. The Quantification Landscape
    Andrea Esuli, Alessandro Fabris, Alejandro Moreo, Fabrizio Sebastiani · 2023 · The information retrieval series
  53. Applications of Quantification
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  54. Modèles de mémoires d'entreprise avec intégration automatique d'informations
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  55. Structure learning for statistical relational models
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