Jennifer Neville
Orcid: 0009-0007-1157-018XAffiliations:
- Purdue University, West Lafayette, USA
According to our database1,
Jennifer Neville
authored at least 150 papers
between 2002 and 2024.
Collaborative distances:
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Bibliography
2024
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation.
CoRR, 2024
Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Prompts As Programs: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization.
CoRR, 2024
Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents.
CoRR, 2024
CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulness.
CoRR, 2024
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Generating post-hoc explanations for Skip-gram-based node embeddings by identifying important nodes with <i>bridgeness</i>.
Neural Networks, July, 2023
PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers.
CoRR, 2023
CoRR, 2023
Generating Post-hoc Explanations for Skip-gram-based Node Embeddings by Identifying Important Nodes with Bridgeness.
CoRR, 2023
Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs.
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
CoRR, 2022
2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
2020
Proceedings of the Companion of The 2020 Web Conference 2020, 2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the Advances in Information Retrieval, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
2019
IEEE Trans. Neural Networks Learn. Syst., 2019
CoRR, 2019
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Exploiting Interaction Links for Node Classification with Deep Graph Neural Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
ACM Trans. Knowl. Discov. Data, 2018
Designing Size Consistent Statistics for Accurate Anomaly Detection in Dynamic Networks.
ACM Trans. Knowl. Discov. Data, 2018
NII Shonan Meet. Rep., 2018
Data Min. Knowl. Discov., 2018
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Knowl. Inf. Syst., 2017
Stochastic Gradient Descent for Relational Logistic Regression via Partial Network Crawls.
CoRR, 2017
CoRR, 2017
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Eleventh International Conference on Web and Social Media, 2017
Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Combining Gradient Boosting Machines with Collective Inference to Predict Continuous Values.
CoRR, 2016
Better Together: Combining Language and Social Interactions into a Shared Representation.
Proceedings of TextGraphs@NAACL-HLT 2016: the 10th Workshop on Graph-based Methods for Natural Language Processing, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
2015
Using Bayesian Network Representations for Effective Sampling from Generative Network Models.
CoRR, 2015
Overcoming Relational Learning Biases to Accurately Predict Preferences in Large Scale Networks.
Proceedings of the 24th International Conference on World Wide Web, 2015
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
IEEE Signal Process. Mag., 2014
Proceedings of the 23rd International World Wide Web Conference, 2014
Proceedings of the 8th Workshop on Social Network Mining and Analysis, 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
2013
ACM Trans. Knowl. Discov. Data, 2013
LBSN 2012 workshop report: the Fifth ACM SIGSPATIAL International Workshop on Location-Based Social Networks (Redondo Beach, California - November 6, 2012).
ACM SIGSPATIAL Special, 2013
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
2012
Knowl. Inf. Syst., 2012
J. Artif. Intell. Res., 2012
Proceedings of the 21st World Wide Web Conference, 2012
Fast Generation of Large Scale Social Networks While Incorporating Transitive Closures.
Proceedings of the 2012 International Conference on Privacy, 2012
The Impact of Communication Structure and Interpersonal Dependencies on Distributed Teams.
Proceedings of the 2012 International Conference on Privacy, 2012
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012
Proceedings of the 9th USENIX Symposium on Networked Systems Design and Implementation, 2012
Proceedings of the 1st International Workshop on Big Data, 2012
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012
An analysis of how ensembles of collective classifiers improve predictions in graphs.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
Mach. Learn., 2011
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
CoRR, 2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Methods to Determine Node Centrality and Clustering in Graphs with Uncertain Structure.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
2010
Proceedings of the 19th International Conference on World Wide Web, 2010
Proceedings of the 19th International Conference on World Wide Web, 2010
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010
Modeling the evolution of discussion topics and communication to improve relational classification.
Proceedings of the First Workshop on Social Media Analytics, 2010
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010
Proceedings of the Workshops Proceedings of the 26th International Conference on Data Engineering, 2010
Proceedings of the 48th Annual Allerton Conference on Communication, 2010
2009
Proceedings of the Third International Conference on Weblogs and Social Media, 2009
Proceedings of the ICDM 2009, 2009
2008
Mach. Learn., 2008
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
Proceedings of the 24th International Conference on Data Engineering, 2008
2007
Proceedings of the Inductive Logic Programming, 17th International Conference, 2007
2005
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
Proceedings of the Proceedings, 2005
2004
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004
2003
Exploiting relational structure to understand publication patterns in high-energy physics.
SIGKDD Explor., 2003
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003
Proceedings of the Machine Learning, 2003
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003
2002
Proceedings of the Inductive Logic Programming, 12th International Conference, 2002
Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning.
Proceedings of the Machine Learning, 2002