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Adversarial Graph Augmentation to Improve Graph Contrastive Learning


Jun 25, 2021
Susheel Suresh, Pan Li, Cong Hao, Jennifer Neville

* link to code is added (https://github.com/susheels/adgcl

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


Jun 11, 2021
Susheel Suresh, Vinith Budde, Jennifer Neville, Pan Li, Jianzhu Ma

* published in KDD 2021; 11 pages; 

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ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis


Mar 06, 2021
Changping Meng, Muhao Chen, Jie Mao, Jennifer Neville

* ECIR 2020 

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A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs


Sep 22, 2020
Susheel Suresh, Jennifer Neville

* 10 page extended version 

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A Collective Learning Framework to Boost GNN Expressiveness


Mar 26, 2020
Mengyue Hang, Jennifer Neville, Bruno Ribeiro


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Cluster-Based Social Reinforcement Learning


Mar 23, 2020
Mahak Goindani, Jennifer Neville


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Deep Lifetime Clustering


Oct 02, 2019
S Chandra Mouli, Leonardo Teixeira, Jennifer Neville, Bruno Ribeiro


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Community detection over a heterogeneous population of non-aligned networks


Apr 04, 2019
Guilherme Gomes, Vinayak Rao, Jennifer Neville


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Multi-level hypothesis testing for populations of heterogeneous networks


Sep 07, 2018
Guilherme Gomes, Vinayak Rao, Jennifer Neville


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Stochastic Gradient Descent for Relational Logistic Regression via Partial Network Crawls


Aug 21, 2017
Jiasen Yang, Bruno Ribeiro, Jennifer Neville

* 7 pages, 3 figures, Proceedings of the Seventh International Workshop on Statistical Relational AI (StarAI 2017) 

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Size-Consistent Statistics for Anomaly Detection in Dynamic Networks


Aug 02, 2016
Timothy La Fond, Jennifer Neville, Brian Gallagher


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Combining Gradient Boosting Machines with Collective Inference to Predict Continuous Values


Jul 01, 2016
Iman Alodah, Jennifer Neville

* 7 pages, 3 Figures, Sixth International Workshop on Statistical Relational AI 

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Graphlet Decomposition: Framework, Algorithms, and Applications


Feb 15, 2016
Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick Duffield, Theodore L. Willke


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Using Bayesian Network Representations for Effective Sampling from Generative Network Models


Jul 11, 2015
Pablo Robles-Granda, Sebastian Moreno, Jennifer Neville


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Learning the Latent State Space of Time-Varying Graphs


Mar 14, 2014
Nesreen K. Ahmed, Christopher Cole, Jennifer Neville


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Network Sampling: From Static to Streaming Graphs


Nov 14, 2012
Nesreen K. Ahmed, Jennifer Neville, Ramana Kompella


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Dynamic Behavioral Mixed-Membership Model for Large Evolving Networks


May 09, 2012
Ryan Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson


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Transforming Graph Representations for Statistical Relational Learning


Mar 30, 2012
Ryan A. Rossi, Luke K. McDowell, David W. Aha, Jennifer Neville


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Role-Dynamics: Fast Mining of Large Dynamic Networks


Mar 09, 2012
Ryan Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson


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Representations and Ensemble Methods for Dynamic Relational Classification


Nov 22, 2011
Ryan A. Rossi, Jennifer Neville


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