Nesreen K. Ahmed

IEEE Trans. Knowl. Data Eng., 2020

On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2020

Correction to: Complex networks are structurally distinguishable by domain.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2020

PIUMA: Programmable Integrated Unified Memory Architecture.

[BibT_eX]

[DOI]

CoRR, 2020

A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems.

[BibT_eX]

[DOI]

CoRR, 2020

Inferring Individual Level Causal Models from Graph-based Relational Time Series.

[BibT_eX]

[DOI]

Somdeb Sarkhel

CoRR, 2020

Fast and Accurate Estimation of Typed Graphlets.

[BibT_eX]

[DOI]

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

From Closing Triangles to Closing Higher-Order Motifs.

[BibT_eX]

[DOI]

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Fast Hierarchical Graph Clustering in Linear-Time.

[BibT_eX]

[DOI]

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

A Structural Graph Representation Learning Framework.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Deep Parametric Model for Discovering Group-cohesive Functional Brain Regions.

[BibT_eX]

[DOI]

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Adaptive Shrinkage Estimation for Streaming Graphs.

[BibT_eX]

[DOI]

Nick Duffield

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

NeuroVectorizer: end-to-end vectorization with deep reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the CGO '20: 18th ACM/IEEE International Symposium on Code Generation and Optimization, 2020

2019

Estimation of Graphlet Counts in Massive Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Attention Models in Graphs: A Survey.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2019

Complex networks are structurally distinguishable by domain.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2019

Temporal Network Sampling.

[BibT_eX]

[DOI]

Nick Duffield

CoRR, 2019

From Community to Role-based Graph Embeddings.

[BibT_eX]

[DOI]

CoRR, 2019

Deep Reinforcement Learning in System Optimization.

[BibT_eX]

[DOI]

CoRR, 2019

Network Shrinkage Estimation.

[BibT_eX]

[DOI]

Nick Duffield

CoRR, 2019

Linear-time Hierarchical Community Detection.

[BibT_eX]

[DOI]

CoRR, 2019

Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs.

[BibT_eX]

[DOI]

CoRR, 2019

Temporal Network Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Heterogeneous Network Motifs.

[BibT_eX]

[DOI]

CoRR, 2019

Deep Graph Similarity Learning for Brain Data Analysis.

[BibT_eX]

[DOI]

Nicholas B. Turk-Browne

Philip S. Yu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Interactive Visual Graph Mining and Learning.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2018

Similarity Learning with Higher-Order Proximity for Brain Network Analysis.

[BibT_eX]

[DOI]

Nicholas B. Turk-Browne

Philip S. Yu

CoRR, 2018

Learning Role-based Graph Embeddings.

[BibT_eX]

[DOI]

CoRR, 2018

HONE: Higher-Order Network Embeddings.

[BibT_eX]

[DOI]

Eunyee Koh

CoRR, 2018

Deep Inductive Network Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Higher-order Network Representation Learning.

[BibT_eX]

[DOI]

Eunyee Koh

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Continuous-Time Dynamic Network Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

GraML 2018 Keynote.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Similarity-based Multi-label Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Sampling for Approximate Bipartite Network Projection.

[BibT_eX]

[DOI]

Nick G. Duffield

Liangzhen Xia

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Interactive Higher-Order Network Analysis.

[BibT_eX]

[DOI]

Eunyee Koh

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Relational Similarity Machines (RSM): A Similarity-based Learning Framework for Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Dynamic Network Embeddings: From Random Walks to Temporal Random Walks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

On Sampling from Massive Graph Streams.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2017

Graphlet decomposition: framework, algorithms, and applications.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

Estimating Node Similarity by Sampling Streaming Bipartite Graphs.

[BibT_eX]

[DOI]

Nick G. Duffield

Liangzhen Xia

CoRR, 2017

Representation Learning in Large Attributed Graphs.

[BibT_eX]

[DOI]

CoRR, 2017

A Framework for Generalizing Graph-based Representation Learning Methods.

[BibT_eX]

[DOI]

CoRR, 2017

Network Classification and Categorization.

[BibT_eX]

[DOI]

James P. Canning

Emma E. Ingram

Sammantha Nowak-Wolff

Adriana M. Ortiz

Karl Robert Bruce Schmitt

Sucheta Soundarajan

CoRR, 2017

Deep Feature Learning for Graphs.

[BibT_eX]

[DOI]

CoRR, 2017

Estimation of Graphlet Statistics.

[BibT_eX]

[DOI]

CoRR, 2017

Edge Role Discovery via Higher-Order Structures.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Exploring optimizations on shared-memory platforms for parallel triangle counting algorithms.

[BibT_eX]

[DOI]

Midhunchandra Kodiyath

Ibrahim Hur

Fabrizio Petrini

George Karypis

Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Truss decomposition on shared-memory parallel systems.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

A Formal Approach to Modeling the Cost of Cognitive Control.

[BibT_eX]

[DOI]

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Stream Aggregation Through Order Sampling.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

E-CLoG: Counting edge-centric local graphlets.

[BibT_eX]

[DOI]

Vachik S. Dave

Mohammad Al Hasan

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

A Higher-Order Latent Space Network Model.

[BibT_eX]

[DOI]

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Relational Similarity Machines.

[BibT_eX]

[DOI]

CoRR, 2016

Revisiting Role Discovery in Networks: From Node to Edge Roles.

[BibT_eX]

[DOI]

CoRR, 2016

Exact and Estimation of Local Edge-centric Graphlet Counts.

[BibT_eX]

[DOI]

Theodore L. Willke

Proceedings of the 5th International Workshop on Big Data, 2016

Estimation of local subgraph counts.

[BibT_eX]

[DOI]

Theodore L. Willke

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Role Discovery in Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

An Interactive Data Repository with Visual Analytics.

[BibT_eX]

[DOI]

SIGKDD Explor., 2015

A Web-based Interactive Visual Graph Analytics Platform.

[BibT_eX]

[DOI]

CoRR, 2015

Fast Parallel Graphlet Counting for Large Networks.

[BibT_eX]

[DOI]

CoRR, 2015

Interactive Visual Graph Analytics on the Web.

[BibT_eX]

[DOI]

Nesreen Kamel Ahmed

Ryan Anthony Rossi

Proceedings of the Ninth International Conference on Web and Social Media, 2015

Efficient Graphlet Counting for Large Networks.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

The Network Data Repository with Interactive Graph Analytics and Visualization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Coloring large complex networks.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2014

NetworkRepository: A Graph Data Repository with Visual Interactive Analytics.

[BibT_eX]

[DOI]

CoRR, 2014

Learning the Latent State Space of Time-Varying Graphs.

[BibT_eX]

[DOI]

Christopher Cole

CoRR, 2014

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

[BibT_eX]

[DOI]

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Network Sampling: From Static to Streaming Graphs.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2013

2012

Does a Daily Deal Promotion Signal a Distressed Business? An Empirical Investigation of Small Business Survival

[BibT_eX]

[DOI]

Ayman Farahat

Utpal M. Dholakia

CoRR, 2012

Space-efficient sampling from social activity streams.

[BibT_eX]

[DOI]

Proceedings of the 1st International Workshop on Big Data, 2012

Network Sampling Designs for Relational Classification.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

2010

Time-based sampling of social network activity graphs.

[BibT_eX]

[DOI]

Fredrick J. Berchmans