Ilya Safro

According to our database, Ilya Safro authored at least 98 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331).

George Karypis, Christian Schulz, Darren Strash, Deepak Ajwani, Rob H. Bisseling, Katrin Casel, Ümit V. Çatalyürek, Cédric Chevalier, Florian Chudigiewitsch, Marcelo Fonseca Faraj, Michael R. Fellows, Lars Gottesbüren, Tobias Heuer, Kamer Kaya, Jakub Lacki, Johannes Langguth, Xiaoye Sherry Li, Ruben Mayer, Johannes Meintrup, Yosuke Mizutani, François Pellegrini, Fabrizio Petrini, Frances A. Rosamond, Ilya Safro, Sebastian Schlag, Roohani Sharma, Blair D. Sullivan, Bora Uçar, Albert-Jan Yzelman

Dagstuhl Reports, 2023

Dyport: Dynamic Importance-based Hypothesis Generation Benchmarking Technique.

Ilya Tyagin, Ilya Safro

CoRR, 2023

Open Problems in (Hyper)Graph Decomposition.

Deepak Ajwani, Rob H. Bisseling, Katrin Casel, Ümit V. Çatalyürek, Cédric Chevalier, Florian Chudigiewitsch, Marcelo Fonseca Faraj, Michael R. Fellows, Lars Gottesbüren, Tobias Heuer, George Karypis, Kamer Kaya, Jakub Lacki, Johannes Langguth, Xiaoye Sherry Li, Ruben Mayer, Johannes Meintrup, Yosuke Mizutani, François Pellegrini, Fabrizio Petrini, Frances A. Rosamond, Ilya Safro, Sebastian Schlag, Christian Schulz, Roohani Sharma, Darren Strash, Blair D. Sullivan, Bora Uçar, Albert-Jan Yzelman

CoRR, 2023

QArchSearch: A Scalable Quantum Architecture Search Package.

Ankit Kulshrestha, Danylo Lykov, Ilya Safro, Yuri Alexeev

CoRR, 2023

Literature-based Discovery for Landscape Planning.

David Marasco, Ilya Tyagin, Justin Sybrandt, James H. Spencer, Ilya Safro

CoRR, 2023

Learning To Optimize Quantum Neural Network Without Gradients.

Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Ilya Safro

CoRR, 2023

QArchSearch: A Scalable Quantum Architecture Search Package.

Ankit Kulshrestha, Ilya Safro, Yuri Alexeev

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Parameter Transferability in QAOA Under Noisy Conditions.

Quinn Langfitt, Jose Falla, Ilya Safro, Yuri Alexeev

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Learning to Optimize Quantum Neural Networks Without Gradients.

Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Ilya Safro

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Decomposition Based Refinement for the Network Interdiction Problem.

Krish Matta, Xiaoyuan Liu, Ilya Safro

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

Hybrid Quantum-Classical Multilevel Approach for Maximum Cuts on Graphs.

Anthony Angone, Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2022

Hypergraph Partitioning With Embeddings.

Justin Sybrandt, Ruslan Shaydulin, Ilya Safro

IEEE Trans. Knowl. Data Eng., 2022

Proactive Query Expansion for Streaming Data Using External Source.

Farah Alshanik, Amy W. Apon, Yuheng Du, Alexander Herzog, Ilya Safro

CoRR, 2022

Leveraging special-purpose hardware for local search heuristics.

Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Avradip Mandal, Sarvagya Upadhyay, Ilya Safro, Arnab Roy

Comput. Optim. Appl., 2022

Quantum Approximate Optimization Algorithm with Sparsified Phase Operator.

Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms.

Ankit Kulshrestha, Ilya Safro

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

Towards Practical Explainability with Cluster Descriptors.

Xiaoyuan Liu, Ilya Tyagin, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Partitioning Dense Graphs with Hardware Accelerators.

Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro

Proceedings of the Computational Science - ICCS 2022, 2022

Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation.

Cameron Ibrahim, Danylo Lykov, Zichang He, Yuri Alexeev, Ilya Safro

Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Proactive Query Expansion for Streaming Data Using External Sources.

Farah Alshanik, Amy W. Apon, Yuheng Du, Alexander Herzog, Ilya Safro

Proceedings of the IEEE International Conference on Big Data, 2022

Accelerating COVID-19 Research with Graph Mining and Transformer-Based Learning.

Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Recent Advances in Scalable Network Generation1.

Manuel Penschuck, Ulrik Brandes, Michael Hamann, Sebastian Lamm, Ulrich Meyer, Ilya Safro, Peter Sanders, Christian Schulz

Proceedings of the Massive Graph Analytics, 2022

2021

Classical symmetries and the Quantum Approximate Optimization Algorithm.

Ruslan Shaydulin, Stuart Hadfield, Tad Hogg, Ilya Safro

Quantum Inf. Process., 2021

ELRUNA: Elimination Rule-based Network Alignment.

Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu, Yuri Alexeev, Christopher S. Henry, Ilya Safro

ACM J. Exp. Algorithmics, 2021

FAIRLEARN: Configurable and Interpretable Algorithmic Fairness.

Ankit Kulshrestha, Ilya Safro

CoRR, 2021

Coping with Mistreatment in Fair Algorithms.

Ankit Kulshrestha, Ilya Safro

CoRR, 2021

Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers.

Xiaoyuan Liu, Anthony Angone, Ruslan Shaydulin, Ilya Safro, Yuri Alexeev, Lukasz Cincio

CoRR, 2021

Transferability of optimal QAOA parameters between random graphs.

Alexey Galda, Xiaoyuan Liu, Danylo Lykov, Yuri Alexeev, Ilya Safro

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2021

2020

Classical symmetries and QAOA.

Ruslan Shaydulin, Stuart Hadfield, Tad Hogg, Ilya Safro

CoRR, 2020

Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization.

Fei Ding, Xiaohong Zhang, Justin Sybrandt, Ilya Safro

CoRR, 2020

Recent Advances in Scalable Network Generation.

Manuel Penschuck, Ulrik Brandes, Michael Hamann, Sebastian Lamm, Ulrich Meyer, Ilya Safro, Peter Sanders, Christian Schulz

CoRR, 2020

CBAG: Conditional Biomedical Abstract Generation.

Justin Sybrandt, Ilya Safro

CoRR, 2020

AGATHA: Automatic Graph Mining And Transformer based Hypothesis Generation Approach.

Justin Sybrandt, Ilya Tyagin, Michael Shtutman, Ilya Safro

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

AML-SVM: Adaptive Multilevel Learning with Support Vector Machines.

Ehsan Sadrfaridpour, Korey Palmer, Ilya Safro

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Accelerating Text Mining Using Domain-Specific Stop Word Lists.

Farah Alshanik, Amy W. Apon, Alexander Herzog, Ilya Safro, Justin Sybrandt

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Centralities for networks with consumable resources.

Hayato Ushijima-Mwesigwa, Zadid Khan, Mashrur A. Chowdhury, Ilya Safro

Netw. Sci., 2019

Relaxation-Based Coarsening for Multilevel Hypergraph Partitioning.

Ruslan Shaydulin, Jie Chen, Ilya Safro

Multiscale Model. Simul., 2019

Engineering fast multilevel support vector machines.

Ehsan Sadrfaridpour, Talayeh Razzaghi, Ilya Safro

Mach. Learn., 2019

On Modeling Local Search with Special-Purpose Combinatorial Optimization Hardware.

Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Avradip Mandal, Sarvagya Upadhyay, Ilya Safro, Arnab Roy

CoRR, 2019

Network Alignment by Propagating Reliable Similarities.

Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu, Yuri Alexeev, Christopher S. Henry, Ilya Safro

CoRR, 2019

Multilevel Combinatorial Optimization Across Quantum Architectures.

Hayato Ushijima-Mwesigwa, Ruslan Shaydulin, Christian F. A. Negre, Susan M. Mniszewski, Yuri Alexeev, Ilya Safro

CoRR, 2019

FOBE and HOBE: First- and High-Order Bipartite Embeddings.

Justin Sybrandt, Ilya Safro

CoRR, 2019

Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations.

Hayato Ushijima-Mwesigwa, Jeffrey D. Hyman, Aric A. Hagberg, Ilya Safro, Satish Karra, Carl W. Gable, Gowri Srinivasan

CoRR, 2019

A Hybrid Approach for Solving Optimization Problems on Small Quantum Computers.

Ruslan Shaydulin, Hayato Ushijima-Mwesigwa, Christian F. A. Negre, Ilya Safro, Susan M. Mniszewski, Yuri Alexeev

Computer, 2019

Wireless charging utility maximization and intersection control delay minimization framework for electric vehicles.

Zadid Khan, Sakib Mahmud Khan, Mashrur Chowdhury, Ilya Safro, Hayato Ushijima-Mwesigwa

Comput. Aided Civ. Infrastructure Eng., 2019

Multiscale planar graph generation.

Varsha Chauhan, Alexander Gutfraind, Ilya Safro

Appl. Netw. Sci., 2019

Predictive models for bariatric surgery risks with imbalanced medical datasets.

Talayeh Razzaghi, Ilya Safro, Joseph Ewing, Ehsan Sadrfaridpour, John D. Scott

Ann. Oper. Res., 2019

Multistart Methods for Quantum Approximate optimization.

Ruslan Shaydulin, Ilya Safro, Jeffrey Larson

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Clustered Latent Dirichlet Allocation for Scientific Discovery.

Christopher Gropp, Alexander Herzog, Ilya Safro, Paul W. Wilson, Amy W. Apon

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

High-Performance Graph Algorithms (Dagstuhl Seminar 18241).

Henning Meyerhenke, Richard Peng, Ilya Safro

Dagstuhl Reports, 2018

Community Detection Across Emerging Quantum Architectures.

Ruslan Shaydulin, Hayato Ushijima-Mwesigwa, Ilya Safro, Susan M. Mniszewski, Yuri Alexeev

CoRR, 2018

Spatio-temproal prediction of crimes using network analytic approach.

Saroj Kumar Dash, Ilya Safro, Ravisutha Sakrepatna Srinivasamurthy

CoRR, 2018

Validation and Topic-driven Ranking for Biomedical Hypothesis Generation Systems.

Justin Sybrandt, Ilya Safro

CoRR, 2018

A multilevel bilinear programming algorithm for the vertex separator problem.

William W. Hager, James T. Hungerford, Ilya Safro

Comput. Optim. Appl., 2018

Aggregative Coarsening for Multilevel Hypergraph Partitioning.

Ruslan Shaydulin, Ilya Safro

Proceedings of the 17th International Symposium on Experimental Algorithms, 2018

Large-Scale Validation of Hypothesis Generation Systems via Candidate Ranking.

Justin Sybrandt, Michael Shtutman, Ilya Safro

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

Are Abstracts Enough for Hypothesis Generation?

Justin Sybrandt, Angelo Carrabba, Alexander Herzog, Ilya Safro

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

Spatio-temporal prediction of crimes using network analytic approach.

Saroj Kumar Dash, Ilya Safro, Ravisutha Sakrepatna Srinivasamurthy

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

2017

Detecting and monitoring foodborne illness outbreaks: Twitter communications and the 2015 U.S. Salmonella outbreak linked to imported cucumbers.

Yuliya V. Bolotova, Jie Lou, Ilya Safro

CoRR, 2017

Utility Maximization Framework for Opportunistic Wireless Electric Vehicle Charging.

M. D. Zadid Khan, Mashrur Chowdhury, Sakib Mahmud Khan, Ilya Safro, Hayato Ushijima-Mwesigwa

CoRR, 2017

Engineering multilevel support vector machines.

Ehsan Sadrfaridpour, Talayeh Razzaghi, Ilya Safro

CoRR, 2017

Single- and multi-level network sparsification by algebraic distance.

Emmanuel John, Ilya Safro

J. Complex Networks, 2017

Generating realistic scaled complex networks.

Christian L. Staudt, Michael Hamann, Alexander Gutfraind, Ilya Safro, Henning Meyerhenke

Appl. Netw. Sci., 2017

MOLIERE: Automatic Biomedical Hypothesis Generation System.

Justin Sybrandt, Michael Shtutman, Ilya Safro

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Algebraic multigrid support vector machines.

Ehsan Sadrfaridpour, Sandeep Jeereddy, Ken Kennedy, André Luckow, Talayeh Razzaghi, Ilya Safro

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Detecting and summarizing emergent events in microblogs and social media streams by dynamic centralities.

Neela Avudaiappan, Alexander Herzog, Sneha Kadam, Yuheng Du, Jason Thatcher, Ilya Safro

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

2016

Recent Advances in Graph Partitioning.

Aydin Buluç, Henning Meyerhenke, Ilya Safro, Peter Sanders, Christian Schulz

Proceedings of the Algorithm Engineering - Selected Results and Surveys, 2016

Multilevel Weighted Support Vector Machine for Classification on Healthcare Data with Missing Values.

Talayeh Razzaghi, Oleg Roderick, Ilya Safro, Nicholas Marko

CoRR, 2016

Scalable Dynamic Topic Modeling with Clustered Latent Dirichlet Allocation (CLDA).

Chris Gropp, Alexander Herzog, Ilya Safro, Paul W. Wilson, Amy W. Apon

CoRR, 2016

Generating Scaled Replicas of Real-World Complex Networks.

Christian L. Staudt, Michael Hamann, Ilya Safro, Alexander Gutfraind, Henning Meyerhenke

Proceedings of the Complex Networks & Their Applications V - Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016), Milan, Italy, November 30, 2016

2015

Optimal response to epidemics and cyber attacks in networks.

Noam Goldberg, Sven Leyffer, Ilya Safro

Networks, 2015

Scalable Multilevel Support Vector Machines.

Talayeh Razzaghi, Ilya Safro

Proceedings of the International Conference on Computational Science, 2015

Fast imbalanced classification of healthcare data with missing values.

Talayeh Razzaghi, Oleg Roderick, Ilya Safro, Nick Marko

Proceedings of the 18th International Conference on Information Fusion, 2015

Multiscale network generation.

Alexander Gutfraind, Ilya Safro, Lauren Ancel Meyers

Proceedings of the 18th International Conference on Information Fusion, 2015

2014

Advanced Coarsening Schemes for Graph Partitioning.

Ilya Safro, Peter Sanders, Christian Schulz

ACM J. Exp. Algorithmics, 2014

High-performance Graph Algorithms and Applications in Computational Science (Dagstuhl Seminar 14461).

Ulrich Carsten Meyer, Henning Meyerhenke, Ali Pinar, Ilya Safro

Dagstuhl Reports, 2014

Fast Multilevel Support Vector Machines.

Talayeh Razzaghi, Ilya Safro

CoRR, 2014

A Continuous Refinement Strategy for the Multilevel Computation of Vertex Separators.

William W. Hager, James T. Hungerford, Ilya Safro

Proceedings of the Learning and Intelligent Optimization, 2014

2013

Recent Advances in Graph Partitioning.

Aydin Buluç, Henning Meyerhenke, Ilya Safro, Peter Sanders, Christian Schulz

CoRR, 2013

Fast response to infection spread and cyber attacks on large-scale networks.

Sven Leyffer, Ilya Safro

J. Complex Networks, 2013

2012

Randomized heuristics for exploiting Jacobian scarcity.

Andrew Lyons, Ilya Safro, Jean Utke

Optim. Methods Softw., 2012

2011

Algebraic Distance on Graphs.

Jie Chen, Ilya Safro

SIAM J. Sci. Comput., 2011

A measure of the local connectivity between graph vertices.

Jie Chen, Ilya Safro

Proceedings of the International Conference on Computational Science, 2011

Relaxation-Based Coarsening and Multiscale Graph Organization.

Dorit Ron, Ilya Safro, Achi Brandt

Multiscale Model. Simul., 2011

Multiscale approach for the network compression-friendly ordering.

Ilya Safro, Boris Temkin

J. Discrete Algorithms, 2011

2010

A Fast Multigrid Algorithm for Energy Minimization under Planar Density Constraints.

Dorit Ron, Ilya Safro, Achi Brandt

Multiscale Model. Simul., 2010

Learning of Highly-Filtered Data Manifold Using Spectral Methods.

Oleg Roderick, Ilya Safro

Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010

2009

A Measure of the Connection Strengths between Graph Vertices with Applications

Jie Chen, Ilya Safro

CoRR, 2009

Comparison of Coarsening Schemes for Multilevel Graph Partitioning.

Cédric Chevalier, Ilya Safro

Proceedings of the Learning and Intelligent Optimization, Third International Conference, 2009

Randomized Heuristics for Exploiting Jacobian Scarcity.

Andrew Lyons, Ilya Safro

Proceedings of the Combinatorial Scientific Computing, 01.02. - 06.02.2009, 2009

Weighted aggregation for multi-level graph partitioning.

Cédric Chevalier, Ilya Safro

Proceedings of the Combinatorial Scientific Computing, 01.02. - 06.02.2009, 2009

Improving Random Walk Performance.

Ilya Safro, Paul D. Hovland, Jaewook Shin, Michelle Mills Strout

Proceedings of the 2009 International Conference on Scientific Computing, 2009

2008

Multilevel algorithms for linear ordering problems.

Ilya Safro, Dorit Ron, Achi Brandt

ACM J. Exp. Algorithmics, 2008

2006

A Multilevel Algorithm for the Minimum 2-sum Problem.

Ilya Safro, Dorit Ron, Achi Brandt

J. Graph Algorithms Appl., 2006

Graph minimum linear arrangement by multilevel weighted edge contractions.

Ilya Safro, Dorit Ron, Achi Brandt

J. Algorithms, 2006

Generalizations of the Hanoi Towers Problem

Sergey Benditkis, Ilya Safro

CoRR, 2006

The minimum linear arrangement problem on proper interval graphs

Ilya Safro

CoRR, 2006

2003

Collective stochastic versions of playable games as metaphors for complex biosystems: Team connect four.

Ilya Safro, Lee A. Segel

Complex., 2003