Jennifer Neville


2021

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DYMOND: DYnamic MOtif-NoDes Network Generative Model
Giselle Zeno | Timothy La Fond | Jennifer Neville
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021

2020

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MERL: Multi-View Edge Representation Learning in Social Networks
Yi-Yu Lai | Jennifer Neville
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

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Dynamic Network Modeling from Motif-Activity
Giselle Zeno | Timothy La Fond | Jennifer Neville
Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

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ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis
Changping Meng | Muhao Chen | Jie Mao | Jennifer Neville
Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part I

2017

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How to Exploit Relationships to Improve Predictions
Jennifer Neville
Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2017, Amsterdam, The Netherlands, October 1-4, 2017

2016

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

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

2015

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Overcoming Relational Learning Biases to Accurately Predict Preferences in Large Scale Networks
Joseph J. Pfeiffer III | Jennifer Neville | Paul N. Bennett
Proceedings of the 24th International Conference on World Wide Web, WWW 2015, Florence, Italy, May 18-22, 2015

2014

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Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference
Joseph John Pfeiffer III | Jennifer Neville | Paul N. Bennett
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014

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Attributed graph models: modeling network structure with correlated attributes
Joseph J. Pfeiffer III | Sebastián Moreno | Timothy La Fond | Jennifer Neville | Brian Gallagher
23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014

2013

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Modeling dynamic behavior in large evolving graphs
Ryan A. Rossi | Brian Gallagher | Jennifer Neville | Keith Henderson
Sixth ACM International Conference on Web Search and Data Mining, WSDM 2013, Rome, Italy, February 4-8, 2013

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Collective inference for network data with copula latent markov networks
Rongjing Xiang | Jennifer Neville
Sixth ACM International Conference on Web Search and Data Mining, WSDM 2013, Rome, Italy, February 4-8, 2013

2012

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An analysis of how ensembles of collective classifiers improve predictions in graphs
Hoda Eldardiry | Jennifer Neville
21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012

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Role-dynamics: fast mining of large dynamic networks
Ryan A. Rossi | Brian Gallagher | Jennifer Neville | Keith Henderson
Proceedings of the 21st World Wide Web Conference, WWW 2012, Lyon, France, April 16-20, 2012 (Companion Volume)

2010

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Modeling relationship strength in online social networks
Rongjing Xiang | Jennifer Neville | Monica Rogati
Proceedings of the 19th International Conference on World Wide Web, WWW 2010, Raleigh, North Carolina, USA, April 26-30, 2010

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Randomization tests for distinguishing social influence and homophily effects
Timothy La Fond | Jennifer Neville
Proceedings of the 19th International Conference on World Wide Web, WWW 2010, Raleigh, North Carolina, USA, April 26-30, 2010