Nesreen K. Ahmed

According to our database1, Nesreen K. Ahmed authored at least 63 papers between 2010 and 2020.

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Bibliography

2020
Deep Inductive Graph Representation Learning.
IEEE Trans. Knowl. Data Eng., 2020

Inferring Individual Level Causal Models from Graph-based Relational Time Series.
CoRR, 2020

A Structural Graph Representation Learning Framework.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

2019
Estimation of Graphlet Counts in Massive Networks.
IEEE Trans. Neural Netw. Learning Syst., 2019

Attention Models in Graphs: A Survey.
TKDD, 2019

Complex networks are structurally distinguishable by domain.
Social Netw. Analys. Mining, 2019

Deep Graph Similarity Learning: A Survey.
CoRR, 2019

Temporal Network Sampling.
CoRR, 2019

NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning.
CoRR, 2019

From Community to Role-based Graph Embeddings.
CoRR, 2019

Deep Reinforcement Learning in System Optimization.
CoRR, 2019

Network Shrinkage Estimation.
CoRR, 2019

Linear-time Hierarchical Community Detection.
CoRR, 2019

Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs.
CoRR, 2019

Temporal Network Representation Learning.
CoRR, 2019

Heterogeneous Network Motifs.
CoRR, 2019

Deep Graph Similarity Learning for Brain Data Analysis.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Interactive Visual Graph Mining and Learning.
ACM TIST, 2018

Similarity Learning with Higher-Order Proximity for Brain Network Analysis.
CoRR, 2018

Learning Role-based Graph Embeddings.
CoRR, 2018

HONE: Higher-Order Network Embeddings.
CoRR, 2018

Deep Inductive Network Representation Learning.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Higher-order Network Representation Learning.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Continuous-Time Dynamic Network Embeddings.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Similarity-based Multi-label Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Sampling for Approximate Bipartite Network Projection.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Interactive Higher-Order Network Analysis.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Relational Similarity Machines (RSM): A Similarity-based Learning Framework for Graphs.
Proceedings of the IEEE International Conference on Big Data, 2018

Dynamic Network Embeddings: From Random Walks to Temporal Random Walks.
Proceedings of the IEEE International Conference on Big Data, 2018

2017
On Sampling from Massive Graph Streams.
PVLDB, 2017

Graphlet decomposition: framework, algorithms, and applications.
Knowl. Inf. Syst., 2017

Estimating Node Similarity by Sampling Streaming Bipartite Graphs.
CoRR, 2017

Representation Learning in Large Attributed Graphs.
CoRR, 2017

A Framework for Generalizing Graph-based Representation Learning Methods.
CoRR, 2017

Network Classification and Categorization.
CoRR, 2017

Deep Feature Learning for Graphs.
CoRR, 2017

Estimation of Graphlet Statistics.
CoRR, 2017

Edge Role Discovery via Higher-Order Structures.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Exploring optimizations on shared-memory platforms for parallel triangle counting algorithms.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Truss decomposition on shared-memory parallel systems.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

A Formal Approach to Modeling the Cost of Cognitive Control.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Stream Aggregation Through Order Sampling.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

E-CLoG: Counting edge-centric local graphlets.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

A Higher-Order Latent Space Network Model.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Relational Similarity Machines.
CoRR, 2016

Revisiting Role Discovery in Networks: From Node to Edge Roles.
CoRR, 2016

Exact and Estimation of Local Edge-centric Graphlet Counts.
Proceedings of the 5th International Workshop on Big Data, 2016

Estimation of local subgraph counts.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

2015
Role Discovery in Networks.
IEEE Trans. Knowl. Data Eng., 2015

An Interactive Data Repository with Visual Analytics.
SIGKDD Explorations, 2015

A Web-based Interactive Visual Graph Analytics Platform.
CoRR, 2015

Fast Parallel Graphlet Counting for Large Networks.
CoRR, 2015

Interactive Visual Graph Analytics on the Web.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Efficient Graphlet Counting for Large Networks.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

The Network Data Repository with Interactive Graph Analytics and Visualization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Coloring large complex networks.
Social Netw. Analys. Mining, 2014

NetworkRepository: A Graph Data Repository with Visual Interactive Analytics.
CoRR, 2014

Learning the Latent State Space of Time-Varying Graphs.
CoRR, 2014

Graph sample and hold: a framework for big-graph analytics.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Network Sampling: From Static to Streaming Graphs.
TKDD, 2013

2012
Space-efficient sampling from social activity streams.
Proceedings of the 1st International Workshop on Big Data, 2012

Network Sampling Designs for Relational Classification.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

2010
Time-based sampling of social network activity graphs.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010


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