# Jennifer Neville

## Publications / By Date / By Type /

• Journal • Conference • Workshop • Thesis • Chapter • Tech Report •

### Journal

- N. Ahmed, J. Neville, R. Rossi, N. Duffield, and T. Willke.
**Graphlet Decomposition: Framework, Algorithms, and Applications**.*Knowledge and Information Systems*, 50, 2017. [PDF] - N. Ahmed, J. Neville, and R. Kompella.
**Network Sampling: From Static to Streaming Graphs**.*ACM Transactions on Knowledge Discovery from Data*, 8, 2014. [PDF] - J. Neville, B. Gallagher, T. Eliassi-Rad, and T. Wang.
**Correcting Evaluation Bias of Relational Classifiers with Network Cross Validation**.*Knowledge and Information Systems*, 30:31–55, 2012. [PDF] - R. Rossi, L. McDowell, D. Aha, and J. Neville.
**Transforming Graph Data for Statistical Relational Learning**.*Journal of Artificial Intelligence Research*, 45:363–441, 2012. [PDF] - D. Baumann, S. Hambrusch, and J. Neville.
**Gender demographics trends and changes in U.S. CS departments**.*Commun. ACM*, 54:38–42, 2011. [PDF] - M. Yakout, A. Elmagarmid, J. Neville, M. Ouzzani, and I. Ilyas.
**Guided Data Repair**.*Proceedings of the VLDB Endowment*, 2011. [PDF] - R. Khosla, S. Fahmy, C. Hu, and J. Neville.
**Prediction models for long-term Internet prefix availability**.*Computer Networks*, 2010. [PDF] - J. Neville and D. Jensen.
**A Bias/Variance Decomposition for Models Using Collective Inference**.*Machine Learning Journal*, 2008. [PDF] - J. Neville and D. Jensen.
**Relational Dependency Networks**.*Journal of Machine Learning Research*, 2007. [PDF] - A. McGovern, L. Friedland, M. Hay, B. Gallagher, A. Fast, J. Neville, and D. Jensen.
**Exploiting Relational Structure to Understand Publication Patterns in High-Energy Physics**.*SIGKDD Explorations*, 5(2):165–172, 2003. [PDF]

### Conference

- J. Moore and J. Neville.
**Deep Collective Inference**. In*Proceedings of the 31st AAAI Conference on Artificial Intelligence*, 2017. [PDF] - P. Robles, S. Moreno, and J. Neville.
**Unified Representation and Lifted Sampling for Generative Models of Social Networks**. In*Proceedings of the 26th International Joint Conference on Artificial Intelligence*, 2017. [PDF] - J. Yang, V. Rao, and J. Neville.
**Decoupling Homophily and Reciprocity with Latent Space Network Models**. In*Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence*, 2017. [PDF] - J. Yang, B. Ribeiro, and J. Neville.
**Should We Be Confident in Peer Effects Estimated From Partial Crawls of Social Networks?**. In*Proceedings of the 11th International AAAI Conference on Weblogs and Social Media*, 2017. [PDF] - P. Robles, S. Moreno, and J. Neville.
**Sampling of Attributed Networks from Hierarchical Generative Models**. In*Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining*, 2016. [PDF] - N. Ahmed, J. Neville, R. Rossi, and N. Duffield.
**Efficient Graphlet Counting for Large Networks**. In*Proceedings of the 15th IEEE International Conference on Data Mining*, 2015. [PDF] - J. Pfeiffer III, J. Neville, and P. Bennett.
**Overcoming Relational Learning Biases to Accurately Predict Preferences in Large Scale Networks**. In*Proceedings of the 24th International World Wide Web Conference (WWW)*, 2015. [PDF] - J. Moore, S. Mussmann, J. Pfeiffer III, and J. Neville.
**Incorporating Assortativity and Degree Dependence into Scalable Network Models**. In*Proceedings of the 29th AAAI Conference on Artificial Intelligence*, 2015. [PDF] - N. Ahmed, N. Duffield, J. Neville, and R. Kompella.
**Graph Sample and Hold: A Framework for Big-Graph Analytics**. In*Proceedings of the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining*, 2014. [PDF] - J. Pfeiffer III, S. Moreno, T. La Fond, J. Neville, and B. Gallagher.
**Attributed Graph Models: Modeling network structure with correlated attributes**. In*Proceedings of the 23rd International World Wide Web Conference (WWW)*, 2014. [PDF] - J. Pfeiffer III, J. Neville, and P. Bennett.
**Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference**. In*Proceedings of the 23st ACM International Conference on Information and Knowledge Management*, 2014. [PDF] - J. Pfeiffer III, J. Neville, and P. Bennett.
**Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning**. In*Proceedings of the 14th IEEE International Conference on Data Mining*, 2014. [PDF] - S. Moreno, J. Pfeiffer III, J. Neville, and S. Kirshner.
**A Scalable Method for Accurate Sampling from Kronecker Models**. In*Proceedings of the 14th IEEE International Conference on Data Mining*, 2014. [PDF] - S. Moreno, J. Neville, and S. Kirshner.
**Learning Mixed Kronecker Product Graph Models with Simulated Method of Moments**. In*Proceedings of the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining*, 2013. [PDF] - S. Moreno and J. Neville.
**Network Hypothesis Testing Using Mixed Kronecker Product Graph Models**. In*Proceedings of the 13th IEEE International Conference on Data Mining*, 2013. [PDF] - R. Rossi, B. Gallagher, J. Neville, and K. Henderson.
**Modeling Dynamic Behavior in Large Evolving Graphs**. In*Proceedings of the 6th ACM International Conference on Web Search and Data Mining*, 2013. [PDF] - R. Xiang and J. Neville.
**Collective Inference for Network Data with Copula Latent Markov Networks**. In*Proceedings of the 6th ACM International Conference on Web Search and Data Mining*, 2013. [PDF] - N. Ahmed, J. Neville, and R. Kompella.
**Network Sampling Designs for Relational Classification**. In*Proceedings of the 6th International AAAI Conference on Weblogs and Social Media*, 2012. [PDF] - H. Eldardiry and J. Neville.
**An Analysis of How Ensembles of Collective Classifiers Improve Predictions in Graphs**. In*Proceedings of the 21st ACM International Conference on Information and Knowledge Management*, 2012. [PDF] - T. La Fond, D. Roberts, J. Neville, J. Tyler, and S. Connaughton.
**The Impact of Communication Structure and Interpersonal Dependencies on Distributed Teams**. In*Proceedings of the 4th ASE/IEEE International Conference on Social Computing*, 2012. [PDF] - J. Pfeiffer III, T. La Fond, S. Moreno, and J. Neville.
**Fast Generation of Large Scale Social Networks While Incorporating Transitive Closures**. In*Proceedings of the 4th ASE/IEEE International Conference on Social Computing*, 2012. [PDF] - K. Nagaraj, C. Killian, and J. Neville.
**Structured Comparative Analysis of Systems Logs to Diagnose Performance Problems**. In*Proceedings of the 9th USENIX Symposium on Networked Systems Design and Implementation*, 2012. [PDF] - R. Rossi and J. Neville.
**Time-Evolving Relational Classification and Ensemble Methods**. In*Proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining*, 2012. [PDF] - H. Eldardiry and J. Neville.
**Across-Model Collective Ensemble Classification**. In*Proceedings of the 25th AAAI Conference on Artificial Intelligence*, 2011. [PDF] - J. Pfeiffer III and J. Neville.
**Methods to Determine Node Centrality and Clustering in Graphs with Uncertain Structure**. In*Proceedings of the 5th International AAAI Conference on Weblogs and Social Media*, 2011. [PDF] - A. Kuwadekar and J. Neville.
**Relational Active Learning for Joint Collective Classification Models**. In*Proceedings of the 28th International Conference on Machine Learning*, 2011. [PDF] - T. Wang, J. Neville, B. Gallagher, and T. Eliassi-Rad.
**Correcting Bias in Statistical Tests for Network Classifier Evaluation**. In*Proceedings of the 21st European Conference on Machine Learning*, 2011. [PDF] - R. Xiang and J. Neville.
**Relational Learning with One Network: An Asymptotic Analysis**. In*Proceedings of the 14th International Conference on Artificial Intelligence and Statistics (AISTAT)*, 2011. [PDF] - R. Xiang and J. Neville.
**Understanding Propagation Error and Its Effect on Collective Classification**. In*Proceedings of the 11th IEEE International Conference on Data Mining*, 2011. [PDF] - R. Khosla, S. Fahmy, C. Hu, and J. Neville.
**Predicting Prex Availability in the Internet**. In*Proceedings of the 29th IEEE Conference on Computer Communications (INFOCOM) Mini-Conference*, 2010. [PDF] - T. LaFond and J. Neville.
**Randomization tests for distinguishing social influence and homophily effects**. In*Proceedings of the International World Wide Web Conference (WWW)*, 2010. [PDF] - C. Mayfield, J. Neville, and S. Prabhakar.
**ERACER: A Database Approach for Statistical Inference and Data Cleaning**. In*Proceedings of the 2010 ACM SIGMOD Conference*, 2010. [PDF] - S. Moreno, S. Kirshner, J. Neville, and S.V.N. Vishwanathan.
**Tied Kronecker Product Graph Models to Capture Variance in Network Populations**. In*Proceedings of the 48th Annual Allerton Conference on Communications, Controland Computing*, 2010. [PDF] - R. Xiang, J. Neville, and M. Rogati.
**Modeling Relationship Strength in Online Social Networks**. In*Proceedings of the International World Wide Web Conference (WWW)*, 2010. [PDF] - I. Kahanda and J. Neville.
**Using Transactional Information to Predict Link Strength in Online Social Networks**. In*Proceedings of the 3rd International AAAI Conference on Weblogs and Social Media*, 2009. [PDF] - J. Neville, B. Gallagher, and T. Eliassi-Rad.
**Evaluating Statistical Tests for Within-Network Classifiers of Relational Data**. In*Proceedings of the 9th IEEE International Conference on Data Mining*, 2009. [PDF] - P. Angin and J. Neville.
**A Shrinkage Approach for Modeling Non-Stationary Relational Autocorrelation**. In*Proceedings of the 8th IEEE International Conference on Data Mining*, 2008. [PDF] - U. Sharan and J. Neville.
**Temporal-Relational Classifiers for Prediction in Evolving Domains**. In*Proceedings of the 8th IEEE International Conference on Data Mining*, 2008. [PDF] - S. Singh, C. Mayfield, R. Shah, S. Prabhakar, S. Hambrusch, J. Neville, and R. Cheng.
**Database support for probabilistic attributes and tuples**. In*Proceedings of the 24th International Conference on Data Engineering*, 2008. [PDF] - R. Xiang and J. Neville.
**Pseudolikelihood EM for Within-Network Relational Learning**. In*Proceedings of the 8th IEEE International Conference on Data Mining*, 2008. [PDF] - J. Neville and D. Jensen.
**Bias-Variance Analysis for Relational Domains**. In*Proceedings of the 17th International Conference on Inductive Logic Programming*, 2007. [PDF] - J. Neville and D. Jensen.
**Leveraging Relational Autocorrelation with Latent Group Models**. In*Proceedings of the 5th IEEE International Conference on Data Mining*, pp. 322–329, 2005. [PDF] - J. Neville, O. Simsek, D. Jensen, J. Komoroske, K. Palmer, and H. Goldberg.
**Using Relational Knowledge Discovery to Prevent Securities Fraud**. In*Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining*, pp. 449–458, 2005. [PDF] - D. Jensen, J. Neville, and B. Gallagher.
**Why Collective Inference Improves Relational Classification**. In*Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining*, pp. 593–598, 2004. [PDF] - J. Neville and D. Jensen.
**Dependency Networks for Relational Data**. In*Proceedings of the 4th IEEE International Conference on Data Mining*, pp. 170–177, 2004. [PDF] - D. Jensen, J. Neville, and M. Hay.
**Avoiding bias when aggregating relational data with degree disparity**. In*Proceedings of the 20th International Conference on Machine Learning*, pp. 274–281, 2003. [PDF] - J. Neville, D. Jensen, and B. Gallagher.
**Simple Estimators for Relational Bayesian Classifers**. In*Proceedings of the 3rd IEEE International Conference on Data Mining*, pp. 609–612, 2003. [PDF] - J. Neville, D. Jensen, L. Friedland, and M. Hay.
**Learning Relational Probability Trees**. In*Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining*, pp. 625–630, 2003. [PDF] - D. Jensen and J. Neville.
**Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning**. In*Proceedings of the 19th International Conference on Machine Learning*, pp. 259–266, 2002. [PDF] - D. Jensen and J. Neville.
**Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners**. In*Proceedings of the 12th International Conference on Inductive Logic Programming*, pp. 101–116, 2002. [PDF]

### Workshop

- C. Li an Y. Lai, D. Goldwasser, and J. Neville.
**Joint Embedding Models for Textual and Social Analysis**. In*Proceedings of the 1st Workshop on Deep Structured Prediction, ICML*, 2017. [PDF] - H. Park, J. Moore, and J. Neville.
**Deep Dynamic Relational Classifiers: Exploiting Dynamic Neighborhoods in Complex Networks**. In*Proceedings of the Mining Actionable Insights from Social Networks Workshop, WSDM*, 2017. [PDF] - J. Yang, B. Ribeiro, and J. Neville.
**Stochastic Gradient Descent for Relational Logistic Regression via Partial Network Crawls**. In*Proceedings of the 7th International Workshop on Statistical Relational AI, UAI*, 2017. [PDF] - I. Alodah and J. Neville.
**Combining Gradient Boosting Machines with Collective Inference to Predict Continuous Values**. In*Proceedings of the 6th International Workshop on Statistical Relational AI, IJCAI*, 2016. [PDF] - T. La Fond, J. Neville, and B. Gallagher.
**Generating Local Explanations of Network Anomalies via Score Decomposition**. In*Proceedings of the ODD 4.0: Outlier Definition, Detection, and Description on Demand, KDD*, 2016. [PDF] - Y. Lai, C. Li, D. Goldwasser, and J. Neville.
**Better Together: Combining Language and Social Interactions into a Shared Representation**. In*Proceedings of the TextGraphs Workshop 2016, NAACL*, 2016. [PDF] - G. Zeno and J. Neville.
**Investigating the Impact of Graph Structure and Attribute Correlation on Collective Classification Performance**. In*Proceedings of the 13th Workshop on Mining and Learning with Graphs, KDD*, 2016. [PDF] - R. Niu, S. Moreno, and J. Neville.
**Analyzing the Transferability of Collective Inference Models Across Networks**. In*Proceedings of the International Workshop on Information Analysis and Data Mining Over Social Network, ICDM*, 2015. [PDF] - P. Robles, S. Moreno, and J. Neville.
**Using Bayesian Network Representations for Effective Sampling from Generative Network Models**. In*Proceedings of the 5th International Workshop on Statistical Relational AI, UAI*, 2015. [PDF] - T. La Fond, J. Neville, and B. Gallagher.
**Anomaly detection in networks with changing trends.**. In*Proceedings of the $ODD^2$ Workshop, KDD*, 2014. [PDF] - J. Pfeiffer III, J. Neville, and P. Bennett.
**Combining Active Sampling with Parameter Estimation and Prediction in Single Networks**. In*Proceedings of the Structured Learning: Inferring Graphs from Structured and Unstructured Inputs Workshop, ICML*, 2013. [PDF] - S. Moreno, P. Robles, and J. Neville.
**Block Kronecker Product Graph Models**. In*Proceedings of the 11th Workshop on Mining and Learning with Graphs, KDD*, 2013. [PDF] - N. Ahmed, J. Neville, and R. Kompella.
**Space-Efficient Sampling from Social Activity Streams**. In*Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining, KDD*, 2012. [PDF] - J. Bates, J. Neville, and J. Tyler.
**Using Latent Communication Styles to Predict Individual Characteristics**. In*Proceedings of the 3rd Workshop on Social Media Analytics, KDD*, 2012. [PDF] - J. Pfeiffer III, J. Neville, and P. Bennett.
**Active Sampling of Networks**. In*Proceedings of the 10th Workshop on Mining and Learning with Graphs, ICML*, 2012. [PDF] - R. Rossi, B. Gallagher, J. Neville, and K. Henderson.
**Role-Dynamics: Fast Mining of Large Dynamic Networks**. In*Proceedings of the 1st Workshop on Large Scale Network Analysis, WWW*, 2012. [PDF] - R. Xiang and J. Neville.
**On the Mismatch Between Learning and Inference for Single Network Domains**. In*Proceedings of the ICML Workshop on Inferning: Interactions between Inference and Learning*, 2012. [PDF] - N. Ahmed, F. Berchmans, J. Neville, and R. Kompella.
**Time-Based Sampling of Social Network Activity Graphs**. In*Proceedings of the 8th Workshop on Mining and Learning with Graphs*, 2010. [PDF] - N. Ahmed, J. Neville, and R. Kompella.
**Reconsidering the Foundations of Network Sampling**. In*Proceedings of the 2nd Workshop on Information in Networks*, 2010. [PDF] - H. Eldardiry and J. Neville.
**Multi-Network Fusion for Collective Inference**. In*Proceedings of the 8th Workshop on Mining and Learning with Graphs*, 2010. [PDF] - J. Pfeiffer III and J. Neville.
**Probabilistic Paths and Centrality in Time**. In*Proceedings of the 4th SNA-KDD Workshop, KDD*, 2010. [PDF] - A. Kuwadekar and J. Neville.
**Combining Semi-supervised Learning and Relational Resampling for Active Learning in Network Domains**. In*Proceedings of the Budgeted Learning Workshop, ICML*, 2010. [PDF] - S. Moreno, J. Neville, S. Kirshner, and S.V.N. Vishwanathan.
**Modeling the Variance of Network Populations with Mixed Kronecker Product Graph Models**. In*Proceedings of the 2010 NIPS Workshop on Networks Across Disciplines: Theory and Applications*, 2010. [PDF] - R. Rossi and J. Neville.
**Modeling the Evolution of Discussion Topics and Communication to Improve Relational Classification**. In*Proceedings of the 1st Workshop on Social Media Analytics, KDD*, 2010. [PDF] - M. Yakout, A. Elmagarmid, and J. Neville.
**Ranking for Data Repairs**. In*Proceedings of the 4th International Workshop on Ranking in Databases, ICDE*, 2010. [PDF] - M. Yakout, A. Elmagarmid, J. Neville, and M. Ouzzani.
**GDR: A System for Guided Data Repair**. In*Proceedings of the 2010 International Conference on Management of Data (SIGMOD)*, 2010. [PDF] - S. Moreno and J. Neville.
**An Investigation of the Distributional Characteristics of Generative Graph Models**. In*Proceedings of the 1st Workshop on Information in Networks*, 2009. [PDF] - R. Xiang, J. Neville, and M. Rogati.
**Modeling Relationship Strength in Online Social Networks**. In*Proceedings of the NIPS Workshop on Analyzing Networks and Learning With Graphs*, 2009. [PDF] - P. Angin and J. Neville.
**A Shrinkage Approach for Modeling Non-Stationary Relational Autocorrelation,**. In*Proceedings of the 2nd SNA Workshop, 14th ACM SIGKDD Conference on Knowledge Discovery and Data Mining*, 2008. [PDF] - H. Eldardiry and J. Neville.
**A Resampling Technique for Relational Data Graphs**. In*Proceedings of the 2nd SNA Workshop, 14th ACM SIGKDD Conference on Knowledge Discovery and Data Mining*, 2008. [PDF] - R. Xiang and J. Neville.
**Pseudolikelihood EM for Within-Network Relational Learning,**. In*Proceedings of the 2nd SNA Workshop, 14th ACM SIGKDD Conference on Knowledge Discovery and Data Mining*, 2008. [PDF] - U. Sharan and J. Neville.
**Exploiting Time-Varying Relationships in Statistical Relational Models**. In*Proceedings of the 1st SNA-KDD Workshop, 13th ACM SIGKDD Conference on Knowledge Discovery and Data Mining*, 2007. [PDF] - J. Neville, O. Simsek, and D. Jensen.
**Autocorrelation and Relational Learning: Challenges and Opportunities**. In*Proceedings of the Workshop on Statistical Relational Learning, 21st International Conference on Machine Learning*, 2004. [PDF] - J. Neville and D. Jensen.
**Collective Classification with Relational Dependency Networks**. In*Proceedings of the 2nd Multi-Relational Data Mining Workshop, 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining*, pp. 77–91, 2003. [PDF] - J. Neville, M. Rattigan, and D. Jensen.
**Statistical Relational Learning: Four Claims and a Survey**. In*Proceedings of the Workshop on Learning Statistical Models from Relational Data, 18th International Joint Conference on Artificial Intelligence*, 2003. [PDF] - J. Neville, M. Adler, and D. Jensen.
**Clustering Relational Data Using Attribute and Link Information**. In*Proceedings of the Text Mining and Link Analysis Workshop, 18th International Joint Conference on Artificial Intelligence*, 2003. [PDF] - D. Jensen and J. Neville.
**Schemas and Models**. In*Proceedings of the Multi-Relational Data Mining Workshop, 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining*, 2002. [PDF] - D. Jensen and J. Neville.
**Data Mining in Social Networks**. In*National Academy of Sciences Symposium on Dynamic Social Network Analysis*, 2002. [PDF] - J. Neville and D. Jensen.
**Supporting Relational Knowledge Discovery: Lessons in Architecture and Algorithm Design**. In*Proceedings of the Data Mining Lessons Learned Workshop, 19th International Conference on Machine Learning*, pp. 57–64, 2002. [PDF] - D. Jensen and J. Neville.
**Correlation and Sampling in Relational Data Mining**. In*Proceedings of the 33rd Symposium on the Interface of Computing Science and Statistics*, 2001. [PDF] - J. Neville and D. Jensen.
**Iterative Classification in Relational Data**. In*Proceedings of the Workshop on Statistical Relational Learning, 17th National Conference on Artificial Intelligence*, pp. 42–49, 2000. [PDF]

### Thesis

- J. Neville.
**Statistical Models and Analysis Techniques for Learning in Relational Data**. Ph.D. Thesis, University of Massachusetts Amherst, 2006. [PDF]

### Chapter

- J. Neville and D. Jensen.
**Relational Dependency Networks**. In L. Getoor and B. Taskar, editors,*Introduction to Statistical Relational Learning*, 2007. [PDF]

### Tech Report

- N. Ahmed, and J. Neville, and R. Kompella.
**Network Sampling via Edge-based Node Selection with Graph Induction**. Technical Report 11-016, Dept of Computer Science, Purdue University, 2011. [PDF] - J. Neville, M. Adler, and D. Jensen.
**Spectral Clustering with Links and Attributes**. Technical Report 04-42, Dept of Computer Science, University of Massachusetts Amherst, 2004. [PDF] - D. Jensen, J. Neville, and M. Rattigan.
**Randomization Tests for Relational Learning**. Technical Report 03-05, Dept of Computer Science, University of Massachusetts Amherst, 2003. [PDF]

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