A Simple Relational Classifier

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Ranking-based classification of heterogeneous information networks

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Discriminative Deep Random Walk for Network Classification

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Mining Massive Fine-Grained Behavior Data to Improve Predictive Analytics1

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From bias to opinion

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Transforming Graph Data for Statistical Relational Learning

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Predicting Attributes of Nodes Using Network Structure

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Cluster Analysis and Optimization in Color-Based Clustering for Image Abstract

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Recommender Systems for Social Tagging Systems

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SIMILARITY-BASED CLASSIFICATION IN PARTIALLY LABELED NETWORKS

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All liaisons are dangerous when all your friends are known to us

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Ensembles of relational classifiers

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Fast Iterative Graph Computation with Resource Aware Graph Parallel Abstractions

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Toward Personalized Relational Learning

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Autocorrelation and Relational Learning: Challenges and Opportunities

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Link prediction in graph construction for supervised and semi-supervised learning

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Relational Ensemble Classification

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Applying Link-Based Classification to Label Blogs

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Overcoming Relational Learning Biases to Accurately Predict Preferences in Large Scale Networks

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Node Classification in Social Network via a Factor Graph Model

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Edge Role Discovery via Higher-Order Structures

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Learning to Quantify

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A Brief Survey of Machine Learning Methods for Classification in Networked Data and an Application to Suspicion Scoring

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Inferring the Travel Purposes of Passenger Groups for Better Understanding of Passengers

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Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems

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Statistical models and analysis techniques for learning in relational data

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Relational classification for personalized tag recommendation

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Correcting evaluation bias of relational classifiers with network cross validation

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An Efficient Social Attribute Inference Scheme Based on Social Links and Attribute Relevance

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Evaluating Statistical Tests for Within-Network Classifiers of Relational Data

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ACORA: Distribution-Based Aggregation for Relational Learning from Identifier AttributesPreprint

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Empirical Comparison of “Hard” and “Soft” Label Propagation for Relational Classification

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Music Genre Classification Using Traditional and Relational Approaches

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Reflect and correct

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On Transductive Classification in Heterogeneous Information Networks

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Iterative Annotation of Multi-relational Social Networks

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Multi-label graph node classification with label attentive neighborhood convolution

Zhou, C., Chen, H., Zhang, J., Li, Q., Hu, D., & Sheng, V. S. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.115063 · Cited by 17 · see citing works

Graph Regularized Meta-path Based Transductive Regression in Heterogeneous Information Network

Wan, M., Ouyang, Y., Kaplan, L., & Han, J. (2015) · SIAM International Conference on Data Mining · doi:10.1137/1.9781611974010.103 · Cited by 17 · see citing works

Multilabel user classification using the community structure of online networks

Rizos, G., Papadopoulos, S., & Kompatsiaris, I. Y. (2017) · PLoS ONE · doi:10.1371/journal.pone.0173347 · Cited by 17 · see citing works

An Examination of Experimental Methodology for Classifiers of Relational Data

Gallagher, B. J., & Eliassi‐Rad, T. (2007) · IEEE ... International Conference on Data Mining workshops · doi:10.1109/icdmw.2007.27 · Cited by 17 · see citing works

Hidden Common Cause Relations inRelational Learning

(2008)

Simple Models and Classification in Networked Data

Macskassy, S. A., & Provost, F. J. (2004) · Faculty Digital Archive (New York University Florence) · Cited by 7 · see citing works

Multi-Relational Naïve Bayesian Classifier towards Relational Individual

Xu, G.-M., Yang, B., Wu, B., Song, W., & Qin, Y. (2008) · International Conference on Information Computing and Automation · doi:10.1142/9789812799524_0110

Simple estimators for relational Bayesian classifiers

Neville, J., Jensen, D. D., & Gallagher, B. J. (2004) · Proceedings · doi:10.1109/icdm.2003.1250989 · Cited by 88 · see citing works

Probabilistic classification and clustering in relational data

Taskar, B., Segal, E., & Koller, D. (2001) · Cited by 229 · see citing works