Collective stochastic versions of playable games as metaphors for complex biosystems: Team connect four. - Ilya Safro; Lee A. Segel (Complex., 2003)

The minimum linear arrangement problem on proper interval graphs - Ilya Safro (CoRR, 2006)

Generalizations of the Hanoi Towers Problem - Sergey Benditkis; Ilya Safro (CoRR, 2006)

Graph minimum linear arrangement by multilevel weighted edge contractions. - Ilya Safro; Dorit Ron; Achi Brandt (J. Algorithms, 2006)

A Multilevel Algorithm for the Minimum 2-sum Problem. - Ilya Safro; Dorit Ron; Achi Brandt (J. Graph Algorithms Appl., 2006)

Multilevel algorithms for linear ordering problems. - Ilya Safro; Dorit Ron; Achi Brandt (ACM J. Exp. Algorithmics, 2008)

Improving Random Walk Performance. - Ilya Safro; Paul D. Hovland; Jaewook Shin; Michelle Mills Strout (CSC, 2009)

Weighted aggregation for multi-level graph partitioning. - Cédric Chevalier; Ilya Safro (Combinatorial Scientific Computing, 2009)

Randomized Heuristics for Exploiting Jacobian Scarcity. - Andrew Lyons; Ilya Safro (Combinatorial Scientific Computing, 2009)

Comparison of Coarsening Schemes for Multilevel Graph Partitioning. - Cédric Chevalier; Ilya Safro (LION, 2009)

A Measure of the Connection Strengths between Graph Vertices with Applications - Jie Chen 007; Ilya Safro (CoRR, 2009)

Learning of Highly-Filtered Data Manifold Using Spectral Methods. - Oleg Roderick; Ilya Safro (LION, 2010)

A Fast Multigrid Algorithm for Energy Minimization under Planar Density Constraints. - Dorit Ron; Ilya Safro; Achi Brandt (Multiscale Model. Simul., 2010)

Multiscale approach for the network compression-friendly ordering. - Ilya Safro; Boris Temkin (J. Discrete Algorithms, 2011)

Relaxation-Based Coarsening and Multiscale Graph Organization. - Dorit Ron; Ilya Safro; Achi Brandt (Multiscale Model. Simul., 2011)

A measure of the local connectivity between graph vertices. - Jie Chen 007; Ilya Safro (ICCS, 2011)

Algebraic Distance on Graphs. - Jie Chen 007; Ilya Safro (SIAM J. Sci. Comput., 2011)

Randomized heuristics for exploiting Jacobian scarcity. - Andrew Lyons; Ilya Safro; Jean Utke (Optim. Methods Softw., 2012)

Fast response to infection spread and cyber attacks on large-scale networks. - Sven Leyffer; Ilya Safro (J. Complex Networks, 2013)

Recent Advances in Graph Partitioning. - Aydin Buluç; Henning Meyerhenke; Ilya Safro; Peter Sanders 001; Christian Schulz 003 (CoRR, 2013)

A Continuous Refinement Strategy for the Multilevel Computation of Vertex Separators. - William W. Hager; James T. Hungerford; Ilya Safro (LION, 2014)

Fast Multilevel Support Vector Machines. - Talayeh Razzaghi; Ilya Safro (CoRR, 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)

Advanced Coarsening Schemes for Graph Partitioning. - Ilya Safro; Peter Sanders 001; Christian Schulz 003 (ACM J. Exp. Algorithmics, 2014)

Multiscale network generation. - Alexander Gutfraind; Ilya Safro; Lauren Ancel Meyers (FUSION, 2015)

Fast imbalanced classification of healthcare data with missing values. - Talayeh Razzaghi; Oleg Roderick; Ilya Safro; Nick Marko (FUSION, 2015)

Scalable Multilevel Support Vector Machines. - Talayeh Razzaghi; Ilya Safro (ICCS, 2015)

Optimal response to epidemics and cyber attacks in networks. - Noam Goldberg; Sven Leyffer; Ilya Safro (Networks, 2015)

Generating Scaled Replicas of Real-World Complex Networks. - Christian L. Staudt; Michael Hamann; Ilya Safro; Alexander Gutfraind; Henning Meyerhenke (COMPLEX NETWORKS, 2016)

Scalable Dynamic Topic Modeling with Clustered Latent Dirichlet Allocation (CLDA). - Chris Gropp; Alexander Herzog; Ilya Safro; Paul W. Wilson 001; Amy W. Apon (CoRR, 2016)

Multilevel Weighted Support Vector Machine for Classification on Healthcare Data with Missing Values. - Talayeh Razzaghi; Oleg Roderick; Ilya Safro; Nicholas Marko (CoRR, 2016)

Recent Advances in Graph Partitioning. - Aydin Buluç; Henning Meyerhenke; Ilya Safro; Peter Sanders 001; Christian Schulz 003 (Algorithm Engineering, 2016)

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 (IEEE BigData, 2017)

Algebraic multigrid support vector machines. - Ehsan Sadrfaridpour; Sandeep Jeereddy; Ken Kennedy; André Luckow; Talayeh Razzaghi; Ilya Safro (ESANN, 2017)

MOLIERE: Automatic Biomedical Hypothesis Generation System. - Justin Sybrandt; Michael Shtutman; Ilya Safro (KDD, 2017)

Generating realistic scaled complex networks. - Christian L. Staudt; Michael Hamann; Alexander Gutfraind; Ilya Safro; Henning Meyerhenke (Appl. Netw. Sci., 2017)

Single- and multi-level network sparsification by algebraic distance. - Emmanuel John; Ilya Safro (J. Complex Networks, 2017)

Engineering multilevel support vector machines. - Ehsan Sadrfaridpour; Talayeh Razzaghi; 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)

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)

Spatio-temporal prediction of crimes using network analytic approach. - Saroj Kumar Dash; Ilya Safro; Ravisutha Sakrepatna Srinivasamurthy (IEEE BigData, 2018)

Are Abstracts Enough for Hypothesis Generation? - Justin Sybrandt; Angelo Carrabba; Alexander Herzog; Ilya Safro (IEEE BigData, 2018)

Large-Scale Validation of Hypothesis Generation Systems via Candidate Ranking. - Justin Sybrandt; Michael Shtutman; Ilya Safro (IEEE BigData, 2018)

Aggregative Coarsening for Multilevel Hypergraph Partitioning. - Ruslan Shaydulin; Ilya Safro (SEA, 2018)

A multilevel bilinear programming algorithm for the vertex separator problem. - William W. Hager; James T. Hungerford; Ilya Safro (Comput. Optim. Appl., 2018)

Validation and Topic-driven Ranking for Biomedical Hypothesis Generation Systems. - Justin Sybrandt; Ilya Safro (CoRR, 2018)

Spatio-temproal prediction of crimes using network analytic approach. - Saroj Kumar Dash; Ilya Safro; Ravisutha Sakrepatna Srinivasamurthy (CoRR, 2018)

Community Detection Across Emerging Quantum Architectures. - Ruslan Shaydulin; Hayato Ushijima-Mwesigwa; Ilya Safro; Susan M. Mniszewski; Yuri Alexeev (CoRR, 2018)

High-Performance Graph Algorithms (Dagstuhl Seminar 18241). - Henning Meyerhenke; Richard Peng; Ilya Safro (Dagstuhl Reports, 2018)

Clustered Latent Dirichlet Allocation for Scientific Discovery. - Christopher Gropp; Alexander Herzog; Ilya Safro; Paul W. Wilson 001; Amy W. Apon (IEEE BigData, 2019)

Multistart Methods for Quantum Approximate optimization. - Ruslan Shaydulin; Ilya Safro; Jeffrey Larson 001 (HPEC, 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)

Multiscale planar graph generation. - Varsha Chauhan; Alexander Gutfraind; Ilya Safro (Appl. Netw. Sci., 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)

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)

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)

FOBE and HOBE: First- and High-Order Bipartite Embeddings. - Justin Sybrandt; 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)

Network Alignment by Propagating Reliable Similarities. - Zirou Qiu; Ruslan Shaydulin; Xiaoyuan Liu 001; Yuri Alexeev; Christopher S. Henry; Ilya Safro (CoRR, 2019)

On Modeling Local Search with Special-Purpose Combinatorial Optimization Hardware. - Xiaoyuan Liu 001; Hayato Ushijima-Mwesigwa; Avradip Mandal; Sarvagya Upadhyay; Ilya Safro; Arnab Roy 001 (CoRR, 2019)

Engineering fast multilevel support vector machines. - Ehsan Sadrfaridpour; Talayeh Razzaghi; Ilya Safro (Mach. Learn., 2019)

Relaxation-Based Coarsening for Multilevel Hypergraph Partitioning. - Ruslan Shaydulin; Jie Chen 007; Ilya Safro (Multiscale Model. Simul., 2019)

Centralities for networks with consumable resources. - Hayato Ushijima-Mwesigwa; Zadid Khan; Mashrur A. Chowdhury; Ilya Safro (Netw. Sci., 2019)

Accelerating Text Mining Using Domain-Specific Stop Word Lists. - Farah Alshanik; Amy W. Apon; Alexander Herzog; Ilya Safro; Justin Sybrandt (IEEE BigData, 2020)

AML-SVM: Adaptive Multilevel Learning with Support Vector Machines. - Ehsan Sadrfaridpour; Korey Palmer; Ilya Safro (IEEE BigData, 2020)

AGATHA: Automatic Graph Mining And Transformer based Hypothesis Generation Approach. - Justin Sybrandt; Ilya Tyagin; Michael Shtutman; Ilya Safro (CIKM, 2020)

CBAG: Conditional Biomedical Abstract Generation. - Justin Sybrandt; Ilya Safro (CoRR, 2020)

Recent Advances in Scalable Network Generation. - Manuel Penschuck; Ulrik Brandes; Michael Hamann; Sebastian Lamm; Ulrich Meyer 001; Ilya Safro; Peter Sanders 001; Christian Schulz 003 (CoRR, 2020)

Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization. - Fei Ding; Xiaohong Zhang; Justin Sybrandt; Ilya Safro (CoRR, 2020)

Classical symmetries and QAOA. - Ruslan Shaydulin; Stuart Hadfield; Tad Hogg; Ilya Safro (CoRR, 2020)

Transferability of optimal QAOA parameters between random graphs. - Alexey Galda; Xiaoyuan Liu 001; Danylo Lykov; Yuri Alexeev; Ilya Safro (QCE, 2021)

Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers. - Xiaoyuan Liu 001; Anthony Angone; Ruslan Shaydulin; Ilya Safro; Yuri Alexeev; Lukasz Cincio (CoRR, 2021)

Coping with Mistreatment in Fair Algorithms. - Ankit Kulshrestha; Ilya Safro (CoRR, 2021)

FAIRLEARN: Configurable and Interpretable Algorithmic Fairness. - Ankit Kulshrestha; Ilya Safro (CoRR, 2021)

ELRUNA: Elimination Rule-based Network Alignment. - Zirou Qiu; Ruslan Shaydulin; Xiaoyuan Liu 001; Yuri Alexeev; Christopher S. Henry; Ilya Safro (ACM J. Exp. Algorithmics, 2021)

Classical symmetries and the Quantum Approximate Optimization Algorithm. - Ruslan Shaydulin; Stuart Hadfield; Tad Hogg; Ilya Safro (Quantum Inf. Process., 2021)

Recent Advances in Scalable Network Generation1. - Manuel Penschuck; Ulrik Brandes; Michael Hamann; Sebastian Lamm; Ulrich Meyer 001; Ilya Safro; Peter Sanders 001; Christian Schulz 003 (Massive Graph Analytics, 2022)

Accelerating COVID-19 Research with Graph Mining and Transformer-Based Learning. - Ilya Tyagin; Ankit Kulshrestha; Justin Sybrandt; Krish Matta; Michael Shtutman; Ilya Safro (AAAI, 2022)

Proactive Query Expansion for Streaming Data Using External Sources. - Farah Alshanik; Amy W. Apon; Yuheng Du; Alexander Herzog; Ilya Safro (IEEE Big Data, 2022)

Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation. - Cameron Ibrahim; Danylo Lykov; Zichang He; Yuri Alexeev; Ilya Safro (HPEC, 2022)

Partitioning Dense Graphs with Hardware Accelerators. - Xiaoyuan Liu 001; Hayato Ushijima-Mwesigwa; Indradeep Ghosh; Ilya Safro (ICCS (3), 2022)

Towards Practical Explainability with Cluster Descriptors. - Xiaoyuan Liu 001; Ilya Tyagin; Hayato Ushijima-Mwesigwa; Indradeep Ghosh; Ilya Safro (ICDM (Workshops), 2022)

BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms. - Ankit Kulshrestha; Ilya Safro (QCE, 2022)

Quantum Approximate Optimization Algorithm with Sparsified Phase Operator. - Xiaoyuan Liu 001; Ruslan Shaydulin; Ilya Safro (QCE, 2022)

Leveraging special-purpose hardware for local search heuristics. - Xiaoyuan Liu 001; Hayato Ushijima-Mwesigwa; Avradip Mandal; Sarvagya Upadhyay; Ilya Safro; Arnab Roy 001 (Comput. Optim. Appl., 2022)

Proactive Query Expansion for Streaming Data Using External Source. - Farah Alshanik; Amy W. Apon; Yuheng Du; Alexander Herzog; Ilya Safro (CoRR, 2022)

Hypergraph Partitioning With Embeddings. - Justin Sybrandt; Ruslan Shaydulin; Ilya Safro (IEEE Trans. Knowl. Data Eng., 2022)

Hybrid Quantum-Classical Multilevel Approach for Maximum Cuts on Graphs. - Anthony Angone; Xiaoyuan Liu 001; Ruslan Shaydulin; Ilya Safro (HPEC, 2023)

Decomposition Based Refinement for the Network Interdiction Problem. - Krish Matta; Xiaoyuan Liu 001; Ilya Safro (HPEC, 2023)

Learning to Optimize Quantum Neural Networks Without Gradients. - Ankit Kulshrestha; Xiaoyuan Liu 001; Hayato Ushijima-Mwesigwa; Ilya Safro (QCE, 2023)

Parameter Transferability in QAOA Under Noisy Conditions. - Quinn Langfitt; Jose Falla; Ilya Safro; Yuri Alexeev (QCE, 2023)

QArchSearch: A Scalable Quantum Architecture Search Package. - Ankit Kulshrestha; Ilya Safro; Yuri Alexeev (SC Workshops, 2023)

Learning To Optimize Quantum Neural Network Without Gradients. - Ankit Kulshrestha; Xiaoyuan Liu 001; Hayato Ushijima-Mwesigwa; Ilya Safro (CoRR, 2023)

Literature-based Discovery for Landscape Planning. - David Marasco; Ilya Tyagin; Justin Sybrandt; James H. Spencer; Ilya Safro (CoRR, 2023)

QArchSearch: A Scalable Quantum Architecture Search Package. - Ankit Kulshrestha; Danylo Lykov; Ilya Safro; Yuri Alexeev (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; et al. (CoRR, 2023)

Dyport: Dynamic Importance-based Hypothesis Generation Benchmarking Technique. - Ilya Tyagin; Ilya Safro (CoRR, 2023)

Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331). - George Karypis; Christian Schulz 003; Darren Strash; Deepak Ajwani; Rob H. Bisseling; Katrin Casel; Ümit V. Çatalyürek; Cédric Chevalier; Florian Chudigiewitsch; Marcelo Fonseca Faraj; Michael R. Fellows; Lars Gottesbüren; et al. (Dagstuhl Reports, 2023)

Scalable Graph Mining and Learning (Dagstuhl Seminar 23491). - Danai Koutra; Henning Meyerhenke; Ilya Safro; Fabian Brandt-Tumescheit (Dagstuhl Reports, 2023)

A Multilevel Approach for Solving Large-Scale QUBO Problems with Noisy Hybrid Quantum Approximate Optimization. - Filip B. Maciejewski; Bao G. Bach; Maxime Dupont; Paul Aaron Lott; Bhuvanesh Sundar; David E. Bernal Neira; Ilya Safro; Davide Venturelli (HPEC, 2024)

MLQAOA: Graph Learning Accelerated Hybrid Quantum-Classical Multilevel QAOA. - Bao Bach; Jose Falla; Ilya Safro (QCE, 2024)

Scaling Up the Quantum Divide and Conquer Algorithm for Combinatorial Optimization. - Cameron Ibrahim; Teague Tomesh; Zain H. Saleem; Ilya Safro (QCE, 2024)

QAdaPrune: Adaptive Parameter Pruning For Training Variational Quantum Circuits. - Ankit Kulshrestha; Xiaoyuan Liu 001; Hayato Ushijima-Mwesigwa; Bao Bach; Ilya Safro (QCE, 2024)

Dyport: dynamic importance-based biomedical hypothesis generation benchmarking technique. - Ilya Tyagin; Ilya Safro (BMC Bioinform., 2024)

Graph representation learning for parameter transferability in quantum approximate optimization algorithm. - Jose Falla; Quinn Langfitt; Yuri Alexeev; Ilya Safro (Quantum Mach. Intell., 2024)

AI-based mining of biomedical literature: Applications for drug repurposing for the treatment of dementia. - Aliaksandra Sikirzhytskaya; Ilya Tyagin; S. Scott Sutton; Michael D. Wyatt; Ilya Safro; Michael Shtutman (Artif. Intell. Medicine, 2025)

Efficient Compilation for Shuttling Trapped-Ion Machines via the Position Graph Architectural Abstraction. - Bao Bach; Ilya Safro; Ed Younis (CoRR, 2025)

Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach. - Kien X. Nguyen 001; Bao Bach; Ilya Safro (CoRR, 2025)

QAOA-GPT: Efficient Generation of Adaptive and Regular Quantum Approximate Optimization Algorithm Circuits. - Ilya Tyagin; Marwa H. Farag; Kyle Sherbert; Karunya Shirali; Yuri Alexeev; Ilya Safro (CoRR, 2025)

QAOA Parameter Transferability for Maximum Independent Set using Graph Attention Networks. - Hanjing Xu; Xiaoyuan Liu; Alex Pothen; Ilya Safro (CoRR, 2025)

ELRUHNA: Elimination Rule-basedHypergraph Alignment. - Cameron Ibrahim; S. M. Ferdous; Ilya Safro; Marco Minutoli; Mahantesh Halappanavar (CoRR, 2025)

QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks. - Hoang-Quan Nguyen; Xuan-Bac Nguyen; Sankalp Pandey; Samee U. Khan; Ilya Safro; Khoa Luu (CoRR, 2025)