Austin R. Benson
Assistant Professor of Computer Science
Field Member of Applied Math and Data Science
Cornell University
arb@cs.cornell.edu
413B Bill & Melinda Gates Hall
@austinbenson
arbenson
Broadly, my research focuses on developing numerical, computational,
and algorithmic frameworks for analyzing complex data in an effort
to better understand how the world is connected and how people make
decisions.
[Curriculum Vitae]
My research is generously supported by the U.S. Army Research Office, JPMorgan Chase & Co., and the National Science Foundation.
News and events

01.21.2021. Higherorder Network Analysis Takes Off, Fueled by Old Ideas and New Data (with David Gleich and Des Higham) was published in SIAM News and gives a highlevel overview of the emergence, mathematics, and opportunities of the higherorder network analysis research area. 
07.09.2020. Dane Taylor and I cochaired the SIAM Worksop on Network Science (NS20). 
06.01.2020. At long last, Random Walks on Simplicial Complexes and the normalized Hodge 1Laplacian (with Michael Schaub, Paul Horn, Gabor Lippner, and Ali Jadbabaie) has been published in SIAM Review. Here is the editor's overview. 
08.06.2019. I am very honored that Network Density of States (with Kun Dong and David Bindel) won the best paper award at KDD.
Upcoming and recent presentations

05.17.2021. GrAPL 2021: IPDPS Workshop on Graphs, Architectures, Programming, and Learning. 
05.07.2021. Worcester Polytechnic Institute. 
03.12.2021. Machine Learning with Graphs at Northeastern. [slides] 
02.23.2021. RelationalAI. [slides] 
01.09.2021. Session on Applied Combinatorial Methods at JMM. [slides] 
11.09.2020. Algorithms for Threat Detection (ATD) Annual Workshop. [slides] 
10.23.2020. Texas A&M Data Science Institute. [slides] 
07.21.2021. Kavli Frontiers of Science. [slides] 
07.06.2020. Minisymposium on Applied and Computational Discrete Algorithms at SIAM Annual. [slides] 
06.16.2020. Pattern Analysis for Networks and Network Generalizations (PANNG 2020) minisymposium, part of the SIAM Conference on Mathematics of Data Science. [slides]
Teaching & Education
Cornell classes
SP 2021. CS 4220/Math 4260: Numerical Analysis: Linear and Nonlinear Problems.FA 2020. CS 6210: Matrix Computations.SP 2020. CS 6241: Numerical Methods for Data Science.FA 2019. CS 2850/INFO 2040/ECON 2040/SOC 2090: Networks.SP 2019. CS 6241: Numerical Methods for Data Science.FA 2018. CS 2850/INFO 2040/ECON 2040/SOC 2090: Networks.
Expository material
 Higherorder Network Analysis Takes Off, Fueled by Old Ideas and New Data article in SIAM News 2021 (with David Gleich and Des Higham).
 SIAM ALA '18 tutorial on Tensor Eigenvectors and Stochastic Processes (with David Gleich).
[web] [slides] [code]
Papers
Preprints
A Nonlinear Diffusion Method for Semisupervised Learning on Hypergraphs.
Francesco Tudisco, Konstantin Prokopchik, and Austin R. Benson.
2103.14867, 2021.
paper pdfHigherorder Homophily is Combinatorially Impossible.
Nate Veldt, Austin R. Benson, and Jon Kleinberg.
arXiv:2103.11818, 2021.
paper pdf codeHypergraph clustering: from blockmodels to modularity.
Philip S. Chodrow, Nate Veldt, and Austin R. Benson.
arXiv:2101.09611, 2021.
paper pdf code dataA Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations.
Junteng Jia and Austin R. Benson.
arXiv:2101.07730, 2021.
paper pdf code dataOverparametrized neural networks as underdetermined linear systems.
Austin R. Benson, Anil Damle, and Alex Townsend.
arXiv:2010.15959, 2020.
paper pdfLearning Interpretable Feature Context Effects in Discrete Choice.
Kiran Tomlinson and Austin R. Benson.
arXiv:2009.03417, 2020.
paper pdf code dataCommunicationefficient distributed eigenspace estimation.
Vasileios Charisopoulos, Austin R. Benson, and Anil Damle.
arXiv:2009.02436, 2020.
paper pdf codeAugmented Sparsifiers for Generalized Hypergraph Cuts.
Austin R. Benson, Jon Kleinberg, and Nate Veldt.
arXiv:2007.08075, 2020.
paper pdfA simple bipartite graph projection model for clustering in networks.
Austin R. Benson, Paul Liu, and Hao Yin.
arXiv:2007.00761, 2020.
paper pdf codeHypergraph Clustering for Finding Diverse and Experienced Groups.
Ilya Amburg, Nate Veldt, and Austin R. Benson.
arXiv:2006.05645, 2020.
paper pdf code dataHypergraph Cuts with General Splitting Functions.
Nate Veldt, Austin R. Benson, and Jon Kleinberg.
arXiv:2001.02817, 2020.
paper pdfIncrementally Updated Spectral Embeddings.
Vasileios Charisopoulos, Austin R. Benson, and Anil Damle.
arXiv:1909.01188, 2019.
paper pdf code poster
Accepted and published research papers
Higherorder Network Analysis Takes Off, Fueled by Old Ideas and New Data.
Austin R. Benson, David F. Gleich, and Desmond J. Higham.
SIAM News, 2021.
article
[Also see the expanded arXiv version.]Nonlinear HigherOrder Label Spreading.
Francesco Tudisco, Austin R. Benson, and Konstantin Prokopchik.
To appear at WWW, 2021.
paper pdf codeRandom Graphs with Prescribed KCore Sequences: A New Null Model for Network Analysis.
Katherine Van Koevering, Austin R. Benson, and Jon Kleinberg.
To appear at WWW, 2021.
codeCombining Label Propagation and Simple Models Outperforms Graph Neural Networks.
Qian Huang, Horace He, Abhay Singh, SerNam Lim, and Austin R. Benson.
To appear at ICLR, 2021.
paper pdf codePlanted Hitting Set Recovery in Hypergraphs.
Ilya Amburg, Jon Kleinberg, and Austin R. Benson.
To appear in Journal of Physics: Complexity (Special Issue on HigherOrder Structures in Networks and Network Dynamical Systems), 2021.
paper pdf code dataExpertise and Dynamics within Crowdsourced Musical Knowledge Curation: A Case Study of the Genius Platform.
Derek Lim and Austin R. Benson.
To appear at ICWSM, 2021.
paper pdf code dataBetter Set Representations For Relational Reasoning.
Qian Huang, Horace He, Abhay Singh, Yan Zhang, SerNam Lim, and Austin R. Benson.
Advances in Neural Information Processing Systems (NeurIPS), 2020.
paper pdf codeEntrywise Convergence of Iterative Methods for Eigenproblems.
Vasileios Charisopoulos, Austin R. Benson, and Anil Damle.
Advances in Neural Information Processing Systems (NeurIPS), 2020.
paper pdf codeResidual Correlation in Graph Neural Network Regression.
Junteng Jia and Austin R. Benson.
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020.
paper pdf code data
[(G)PyTorch implementation from Junwen Bai and Yucheng Lu.]Minimizing Localized Ratio Cut Objectives in Hypergraphs.
Nate Veldt, Austin R. Benson, and Jon Kleinberg.
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020.
paper pdf code dataChoice Set Optimization Under Discrete Choice Models of Group Decisions.
Kiran Tomlinson and Austin R. Benson.
Proceedings of the International Conference on Machine Learning (ICML), 2020.
paper pdf code data slidesNeighborhood and PageRank methods for pairwise link prediction.
Huda Nassar, Austin Benson, and David F. Gleich.
Social Network Analysis and Mining (SNAM), 2020
paper pdf codeNetwork Interpolation.
Thomas Reeves, Anil Damle, and Austin R. Benson.
SIAM Journal on Mathematics of Data Science (SIMODS), 2020.
paper pdf codeMeasuring Directed Triadic Closure with Closure Coefficients.
Hao Yin, Austin R. Benson, and Johan Ugander.
Network Science, 2020.
paper pdf codeRandom Walks on Simplicial Complexes and the normalized Hodge 1Laplacian.
Michael T. Schaub, Austin R. Benson, Paul Horn, Gabor Lippner, and Ali Jadbabaie.
SIAM Review (SIREV), 2020.
paper pdf
[Editor's overview]Clustering in graphs and hypergraphs with categorical edge labels.
Ilya Amburg, Nate Veldt, and Austin R. Benson.
Proceedings of The Web Conference (WWW), 2020.
paper pdf code dataFrozen Binomials on the Web: Word Ordering and Langauge Conventions in Online Text.
Katherine Van Koevering, Austin R. Benson, and Jon Kleinberg.
Proceedings of The Web Conference (WWW), 2020.
paper pdf codeUsing cliques with higherorder spectral embeddings improves graph visualizations.
Huda Nassar, Caitlin Kennedy, Shweta Jain, Caitlin Kennedy, Austin R. Benson, and David F. Gleich.
Proceedings of The Web Conference (WWW), 2020.
paper pdf code videoRetrieving Top Weighted Triangles in Graphs.
Raunak Kumar,* Paul Liu,* Moses Charikar, and Austin R. Benson. (*equal contribution).
Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM), 2020.
paper pdf code dataNeural Jump Stochastic Differential Equations.
Junteng Jia and Austin R. Benson.
Advances in Neural Information Processing Systems (NeurIPS), 2019.
paper pdf code posterModeling and Analysis of Tagging Networks in Stack Exchange Communities.
Shangdi Yu,* Xiang Fu,* and Austin R. Benson (*equal contribution).
Journal of Complex Networks, 2019.
paper pdf code dataComputing tensor Zeigenvectors with dynamical systems.
Austin R. Benson and David F. Gleich.
SIAM Journal on Matrix Analysis and Applications (SIMAX), 2019.
paper pdf codeUnsupervised learning of dislocation motion.
Darren C. Pagan, Thien Q. Phan, Jordan S. Weaver, Austin R. Benson, and Armand J. Beaudoin.
Acta Materialia, 2019.
paper pdfAutomated Grain Yield Behavior Classification.
Darren C. Pagan, Jakob Kaminsky, Wesley A. Tayon, Kelly E. Nygren, Armand J. Beaudoin, and Austin R. Benson.
The Journal of The Minerals, Metals & Materials Society (JOM), 2019.
paper pdfPairwise Link Prediction.
Huda Nassar, Austin R. Benson, and David F. Gleich.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2019.
Best Paper Award Runnerup .
paper pdf codeGraphbased SemiSupervised & Active Learning for Edge Flows.
Junteng Jia, Michael T. Schaub, Santiago Segarra, and Austin R. Benson.
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019.
paper pdf code poster videoNetwork Density of States.
Kun Dong, Austin R. Benson, and David Bindel.
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019.
Best Paper Award .
paper pdf code poster videoThree hypergraph eigenvector centralities.
Austin R. Benson.
SIAM Journal on Mathematics of Data Science (SIMODS), 2019.
paper pdf codeLink Prediction in Networks with CoreFringe Data.
Austin R. Benson and Jon Kleinberg.
Proceedings of the World Wide Web Conference (WWW), 2019.
paper pdf code posterChoosing to grow a graph: Modeling network formation as discrete choice.
Jan Overgoor, Austin R. Benson, and Johan Ugander.
Proceedings of the World Wide Web Conference (WWW), 2019.
paper pdf code posterRandom Spatial Network Models with CorePeriphery Structure.
Junteng Jia and Austin R. Benson.
Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM), 2019.
paper pdf code data posterSampling Methods for Counting Temporal Motifs.
Paul Liu, Austin R. Benson, and Moses Charikar.
Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM), 2019.
paper pdf code dataThe Local Closure Coefficient: A New Perspective On Network Clustering.
Hao Yin, Austin R. Benson, and Jure Leskovec.
Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM), 2019.
paper pdf codeSimplicial closure and higherorder link prediction.
Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg.
Proceedings of the National Academy of Sciences (PNAS), 2018.
paper pdf supplement code dataFound Graph Data and Planted Vertex Covers.
Austin R. Benson and Jon Kleinberg.
Advances in Neural Information Processing Systems (NeurIPS), 2018.
paper pdf code data posterSequences of Sets.
Austin R. Benson, Ravi Kumar, and Andrew Tomkins.
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018.
paper pdf code data poster videoHigherorder clustering in networks.
Hao Yin, Austin R. Benson, and Jure Leskovec.
Physical Review E (PRE), 2018.
paper pdf codeA Discrete Choice Model for Subset Selection.
Austin R. Benson, Ravi Kumar, and Andrew Tomkins.
Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM), 2018.
paper pdf code data posterLocal higherorder graph clustering.
Hao Yin, Austin R. Benson, Jure Leskovec, and David F. Gleich.
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017.
paper pdf code data videoMotifs in temporal networks.
Ashwin Paranjape,* Austin R. Benson,* and Jure Leskovec. (*equal contribution)
Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM), 2017.
paper pdf code data posterThe spacey random walk: a stochastic process for higherorder data.
Austin R. Benson, David F. Gleich, and LekHeng Lim.
SIAM Review (SIREV), 2017.
paper pdf code dataHigherorder organization of complex networks.
Austin R. Benson, David F. Gleich, and Jure Leskovec.
Science, 2016.
paper pdf supplement code dataGeneral tensor spectral coclustering for higherorder data.
Tao Wu, Austin R. Benson, and David F. Gleich.
Advances in Neural Information Processing Systems (NeurIPS), 2016.
paper pdf codeOn the relevance of irrelevant alternatives.
Austin R. Benson, Ravi Kumar, and Andrew Tomkins.
Proceedings of the International Conference on World Wide Web (WWW), 2016.
paper pdfModeling user consumption sequences.
Austin R. Benson, Ravi Kumar, and Andrew Tomkins.
Proceedings of the International Conference on World Wide Web (WWW), 2016.
paper pdfImproving the numerical stability of fast matrix multiplication.
Grey Ballard, Austin R. Benson, Alex Druinksy, Benjamin Lipshitz, and Oded Schwartz.
SIAM Journal on Matrix Analysis and Applications (SIMAX), 2016.
paper pdf codeTensor spectral clustering for partitioning higherorder network structures.
Austin R. Benson, David F. Gleich, and Jure Leskovec.
Proceedings of the SIAM International Conference on Data Mining (SDM), 2015.
paper pdf code videoA framework for practical parallel fast matrix multiplication.
Austin R. Benson and Grey Ballard.
Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), 2015.
paper pdf codeScalable methods for nonnegative matrix factorizations of nearseparable tallandskinny matrices.
Austin R. Benson, Jason D. Lee, Bartek Rajwa, and David F. Gleich.
Advances in Neural Information Processing Systems (NeurIPS), 2014.
Selected for spotlight presentation .
paper pdf code data posterLearning multifractal structure in large networks.
Austin R. Benson, Carlos Riquelme, and Sven Schmit.
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2014.
paper pdf supplement videoA parallel directional Fast Multipole Method.
Austin R. Benson, Jack Poulson, Kenneth Tran, Björn Engquist, and Lexing Ying.
SIAM Journal on Scientific Computing (SISC), 2014.
paper pdf codeSilent error detection in numerical timestepping schemes.
Austin R. Benson, Sven Schmit, and Robert Schreiber.
International Journal of High Performance Computing Applications (IJHPCA), 2014.
paper pdf supplement codeDirect QR factorizations for tallandskinny matrices in MapReduce architectures.
Austin R. Benson, David F. Gleich, and James Demmel.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData), 2013.
paper pdf code
Theses
Tools for higherorder network analysis.
Austin Reilley Benson.
Stanford PhD thesis, 2017.
Stanford ICME Gene Golub Doctoral Dissertation Award winner .
paper pdf