Jennifer Neville

Jennifer Neville, Joseph J. Pfeiffer, Joseph J. Pfeiffer, 2012, 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing.

Network Sampling: Methods and Applications

Jennifer Neville, Mohammad Al Hasan, Nesreen K. Ahmed, 2013 .

Network Sampling Designs for Relational Classification

Ramana Rao Kompella, Jennifer Neville, Nesreen K. Ahmed, 2012, ICWSM.

Role-dynamics: fast mining of large dynamic networks

Ryan A. Rossi, Jennifer Neville, Brian Gallagher, 2012, WWW.

Network Sampling via Edge-based Node Selection with Graph Induction

Ramana Rao Kompella, Jennifer Neville, Nesreen K. Ahmed, 2011 .

Learning the Latent State Space of Time-Varying Graphs pdf

Jennifer Neville, Nesreen K. Ahmed, Christopher Cole, 2014, ArXiv.

Transforming Graph Data for Statistical Relational Learning

David W. Aha, Ryan A. Rossi, Jennifer Neville, 2012, J. Artif. Intell. Res..

Statistical models and analysis techniques for learning in relational data

Jennifer Neville, David Jensen, David D. Jensen, 2006 .

Collective Classification with Relational Dependency Networks

Jennifer Neville, David Jensen, David D. Jensen, 2003 .

A Deep Learning Approach for Survival Clustering without End-of-life Signals

Bruno Ribeiro, Jennifer Neville, S. Chandra Mouli, 2018 .

Transforming Graph Representations for Statistical Relational Learning pdf

David W. Aha, Ryan A. Rossi, Jennifer Neville, 2012, ArXiv.

Attributed graph models: modeling network structure with correlated attributes

Jennifer Neville, Brian Gallagher, Joseph J. Pfeiffer, 2014, WWW.

TransConv: Relationship Embedding in Social Networks

Jennifer Neville, Dan Goldwasser, Yi-Yu Lai, 2019, AAAI.

Nested CRP with Hawkes-Gaussian Processes

Vinayak A. Rao, Jennifer Neville, Xi Tan, 2018, AISTATS.

ERACER: a database approach for statistical inference and data cleaning

Sunil Prabhakar, Jennifer Neville, Chris Mayfield, 2010, SIGMOD Conference.

Statistical Relational Learning: Four Claims and a Survey

Jennifer Neville, David Jensen, Matthew J. Rattigan, 2003 .

The Indian Buffet Hawkes Process to Model Evolving Latent Influences

Vinayak A. Rao, Jennifer Neville, Xi Tan, 2018, UAI.

Using Transactional Information to Predict Link Strength in Online Social Networks

Jennifer Neville, Indika Kahanda, Jennifer Neville, 2009, ICWSM.

How to Exploit Relationships to Improve Predictions

Jennifer Neville, 2017, ICTIR.

Relational Dependency Networks

Jennifer Neville, David D. Jensen, Jennifer Neville, 2007, J. Mach. Learn. Res..

Size-Consistent Statistics for Anomaly Detection in Dynamic Networks pdf

Jennifer Neville, Brian Gallagher, Timothy La Fond, 2016, ArXiv.

Signal Processing for Big Data [From the Guest Editors]

Georgios B. Giannakis, Jennifer Neville, Francis R. Bach, 2014, IEEE Signal Process. Mag..

Database Support for Probabilistic Attributes and Tuples

Susanne E. Hambrusch, Sunil Prabhakar, Reynold Cheng, 2008, 2008 IEEE 24th International Conference on Data Engineering.

Modeling dynamic behavior in large evolving graphs

Ryan A. Rossi, Jennifer Neville, Brian Gallagher, 2013, WSDM.

Using Bayesian Network Representations for Effective Sampling from Generative Network Models pdf

Jennifer Neville, Pablo Robles-Granda, Sebastián Moreno, 2015, ArXiv.

Using relational knowledge discovery to prevent securities fraud

Jennifer Neville, David D. Jensen, Henry G. Goldberg, 2005, KDD '05.

Ranking for data repairs

Ahmed K. Elmagarmid, Jennifer Neville, Mohamed Yakout, 2010, 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010).

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016

Filip Radlinski, Paul N. Bennett, Jennifer Neville, 2016, WSDM.

The Impact of Communication Structure and Interpersonal Dependencies on Distributed Teams

Jennifer Neville, Stacey L. Connaughton, Dan Roberts, 2012, 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing.

An Investigation of the Distributional Characteristics of Generative Graph Models

Jennifer Neville, Sebastian Moreno, 2009 .

Relational Learning with One Network: An Asymptotic Analysis

Jennifer Neville, Rongjing Xiang, Jennifer Neville, 2011, AISTATS.

Designing Size Consistent Statistics for Accurate Anomaly Detection in Dynamic Networks

Jennifer Neville, Brian Gallagher, Timothy La Fond, 2018, ACM Trans. Knowl. Discov. Data.

A Stein-Papangelou Goodness-of-Fit Test for Point Processes

Vinayak A. Rao, Jennifer Neville, Jiasen Yang, 2019, AISTATS.

An ensemble model for collective classification that reduces learning and inference variance

Jennifer Neville, Hoda Eldardiry, 2012 .

Combining Active Sampling with Parameter Estimation and Prediction in Single Networks

Paul N. Bennett, Jennifer Neville, Joel J. Pfeiffer, 2013 .

Identifying User Survival Types via Clustering of Censored Social Network Data pdf

Bruno Ribeiro, Jennifer Neville, S Chandra Mouli, 2017, ArXiv.

Fast Generation of Large Scale Social Networks with Clustering pdf

Jennifer Neville, Joseph J. Pfeiffer, Joseph J. Pfeiffer, 2012, ArXiv.

Efficient Graphlet Counting for Large Networks

Ryan A. Rossi, Jennifer Neville, Nesreen K. Ahmed, 2015, 2015 IEEE International Conference on Data Mining.

Societal Impact of Data Science and Artificial Intelligence

Jennifer Neville, Foster J. Provost, Qiang Yang, 2018, KDD.

An analysis of how ensembles of collective classifiers improve predictions in graphs

Jennifer Neville, Hoda Eldardiry, 2012, CIKM '12.

LBSN 2012 workshop report: the Fifth ACM SIGSPATIAL International Workshop on Location-Based Social Networks (Redondo Beach, California - November 6, 2012)

Jennifer Neville, Gabriel Ghinita, Shawn D. Newsam, 2013, SIGSPACIAL.

Decoupling Homophily and Reciprocity with Latent Space Network Models

Vinayak A. Rao, Jennifer Neville, Jiasen Yang, 2017, UAI.

Statistical relational learning for single network domains

Jennifer Neville, Rongjing Xiang, 2012 .

Relational Active Learning for Joint Collective Classification Models

Jennifer Neville, Ankit Kuwadekar, Jennifer Neville, 2011, ICML.

Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning

Paul N. Bennett, Jennifer Neville, Joseph J. Pfeiffer, 2014, 2014 IEEE International Conference on Data Mining.

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

Paul N. Bennett, Jennifer Neville, Joseph J. Pfeiffer, 2015, WWW.

Why collective inference improves relational classification

Jennifer Neville, Brian Gallagher, David D. Jensen, 2004, KDD.

Active Sampling of Networks

Paul N. Bennett, Jennifer Neville, Joseph J. Pfeiffer, 2012 .

MERL: Multi-View Edge Representation Learning in Social Networks

Jennifer Neville, Yi-Yu Lai, 2020, CIKM.

Anomaly Detection in Dynamic Networks of Varying Size pdf

Jennifer Neville, Brian Gallagher, Timothy La Fond, 2014, ArXiv.

Network Hypothesis Testing Using Mixed Kronecker Product Graph Models

Jennifer Neville, Sebastián Moreno, 2013, 2013 IEEE 13th International Conference on Data Mining.

GDR: a system for guided data repair

Ahmed K. Elmagarmid, Jennifer Neville, Mourad Ouzzani, 2010, SIGMOD Conference.

Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners

Jennifer Neville, David D. Jensen, Jennifer Neville, 2002, ILP.

Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning

Jennifer Neville, David D. Jensen, Jennifer Neville, 2002, ICML.

Simple estimators for relational Bayesian classifiers

Jennifer Neville, Brian Gallagher, David D. Jensen, 2003, Third IEEE International Conference on Data Mining.

Graph sample and hold: a framework for big-graph analytics

Ramana Rao Kompella, Jennifer Neville, Nesreen K. Ahmed, 2014, KDD.

Across-Model Collective Ensemble Classification

Jennifer Neville, Hoda Eldardiry, Jennifer Neville, 2011, AAAI.

Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction

Bruno Ribeiro, Jennifer Neville, S Chandra Mouli, 2018, AAAI.

Bias/Variance Analysis for Relational Domains

Jennifer Neville, David D. Jensen, 2007, ILP.

Graphlet decomposition: framework, algorithms, and applications

Ryan A. Rossi, Jennifer Neville, Nesreen K. Ahmed, 2015, Knowledge and Information Systems.

Machine Learning, Special Issue on Learning and Mining with Graphs, 82(2)

Sundar Vishwanathan, Jennifer Neville, Stefan Wrobel, 2011 .

Collective inference for network data with copula latent markov networks

Jennifer Neville, Rongjing Xiang, Jennifer Neville, 2013, WSDM.

Deep Collective Inference

Jennifer Neville, John Moore, Jennifer Neville, 2017, AAAI.

Assortativity in Chung Lu Random Graph Models

Jennifer Neville, Joseph J. Pfeiffer, John Moore, 2014, SNAKDD'14.

Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy

Qiang Liu, Vinayak A. Rao, Jennifer Neville, 2018, ICML.

Clustering Relational Data Using Attribute and Link Information

Micah Adler, Jennifer Neville, David Jensen, 2003 .

Gender demographics trends and changes in U.S. CS departments

Susanne E. Hambrusch, Jennifer Neville, Douglas Baumann, 2011, CACM.

Learning relational probability trees

Jennifer Neville, David D. Jensen, Michael Hay, 2003, KDD '03.

Modeling Temporal Behavior in Large Networks: A Dynamic Mixed-Membership Model

Ryan A. Rossi, Jennifer Neville, Brian Gallagher, 2011 .

Ensemble classification techniques for relational domains

Jennifer Neville, Hoda Eldardiry, 2012 .

Prediction models for long-term Internet prefix availability

Jennifer Neville, Sonia Fahmy, Ravish Khosla, 2011, Comput. Networks.

A Scalable Method for Exact Sampling from Kronecker Family Models

Jennifer Neville, Joseph J. Pfeiffer, Sergey Kirshner, 2014, 2014 IEEE International Conference on Data Mining.

Modeling the evolution of discussion topics and communication to improve relational classification

Ryan A. Rossi, Jennifer Neville, Jennifer Neville, 2010, SOMA '10.

Scalable and exact sampling method for probabilistic generative graph models

Jennifer Neville, Joseph J. Pfeiffer, Joseph J. Pfeiffer, 2018, Data Mining and Knowledge Discovery.

Supporting Relational Knowledge Discovery: Lessons in Architecture and Algorithm Design

Jennifer Neville, David Jensen, 2002 .

Structured Comparative Analysis of Systems Logs to Diagnose Performance Problems

Jennifer Neville, Karthik Nagaraj, Charles Edwin Killian, 2012, NSDI.

Analyzing the Transferability of Collective Inference Models Across Networks

Jennifer Neville, Sebastián Moreno, Ransen Niu, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

Reconsidering the Foundations of Network Sampling

Ramana Rao Kompella, Jennifer Neville, Nesreen K. Ahmed, 2010 .

Variational Random Function Model for Network Modeling

Zenglin Xu, Bin Liu, Jennifer Neville, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Modeling relationship strength in online social networks

Jennifer Neville, Monica Rogati, Rongjing Xiang, 2010, WWW '10.

Guided data repair pdf

Ahmed K. Elmagarmid, Jennifer Neville, Mourad Ouzzani, 2011, Proc. VLDB Endow..

Structure Learning for Statistical Relational Models

Jennifer Neville, 2005, AAAI.

Dynamic Behavioral Mixed-Membership Model for Large Evolving Networks pdf

Ryan A. Rossi, Jennifer Neville, Brian Gallagher, 2012, ArXiv.

A Resampling Technique for Relational Data Graphs

Jennifer Neville, Hoda Eldardiry, Jennifer Neville, 2008 .

Avoiding Bias when Aggregating Relational Data with Degree Disparity

Jennifer Neville, David D. Jensen, Michael Hay, 2003, ICML.

Adversarial Graph Augmentation to Improve Graph Contrastive Learning pdf

Jennifer Neville, Pan Li, Susheel Suresh, 2021, NeurIPS.

DYMOND: DYnamic MOtif-NoDes Network Generative Model

Jennifer Neville, Giselle Zeno, Timothy La Fond, 2021, WWW.

Towards Decentralized Social Reinforcement Learning via Ego-Network Extrapolation

Jennifer Neville, Mahak Goindani, 2021, AAMAS.

A Collective Learning Framework to Boost GNN Expressiveness pdf

Bruno Ribeiro, Jennifer Neville, Mengyue Hang, 2020, ArXiv.

Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns

Jennifer Neville, Jianzhu Ma, Pan Li, 2021, KDD.

Correlation and Sampling in Relational Data Mining

Jennifer Neville, David Jensen, Jennifer Neville, 2001 .

Randomization Tests for Relational Learning

Jennifer Neville, David Jensen, David D. Jensen, 2003 .

Investigating the impact of graph structure and attribute correlation on collective classification performance

Jennifer Neville, Giselle Zeno, Jennifer Neville, 2016 .

Using Latent Communication Styles to Predict Individual Characteristics

Jennifer Neville, Jennifer Neville, Jordan Taylor Bates, 2012 .

Probabilistic Paths and Centrality in Time

Jennifer Neville, Joseph J. Pfeiffer, 2010 .

Anomaly Detection in Networks with Changing Trends

Jennifer Neville, Brian Gallagher, Timothy La Fond, 2015 .

Tied Kronecker product graph models to capture variance in network populations

Jennifer Neville, Sergey Kirshner, Sebastian Moreno, 2010 .

Schemas and Models

Jennifer Neville, David Jensen, Jennifer Neville, 2002 .