Austin R. Benson

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 111

Top Venues

Publications

Kiran Tomlinson, Austin R. Benson
Graph-based methods for discrete choice. Netw. Sci. 12 (1) (2024)
Nate Veldt, Austin R. Benson, Jon M. Kleinberg
Augmented Sparsifiers for Generalized Hypergraph Cuts. J. Mach. Learn. Res. 24 (2023)
Jonas L. Juul, Austin R. Benson, Jon M. Kleinberg
Hypergraph patterns and collaboration structure. CoRR (2022)
Junteng Jia, Austin R. Benson
A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations. SIAM J. Math. Data Sci. 4 (1) (2022)
Ilya Amburg, Nate Veldt, Austin R. Benson
Diverse and Experienced Group Discovery via Hypergraph Clustering. SDM (2022)
Konstantin Prokopchik, Austin R. Benson, Francesco Tudisco
Nonlinear Feature Diffusion on Hypergraphs. ICML (2022)
Nate Veldt, Austin R. Benson, Jon M. Kleinberg
Hypergraph Cuts with General Splitting Functions. SIAM Rev. 64 (3) (2022)
Austin R. Benson, Nate Veldt, David F. Gleich
Fauci-Email: A JSON Digest of Anthony Fauci's Released Emails. ICWSM (2022)
Kiran Tomlinson, Austin R. Benson
Graph-Based Methods for Discrete Choice. CoRR (2022)
Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective. NeurIPS (2022)
Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective. CoRR (2022)
Katherine Van Koevering, Austin R. Benson, Jon M. Kleinberg
Random Graphs with Prescribed K-Core Sequences: A New Null Model for Network Analysis. WWW (2021)
Nate Veldt, Austin R. Benson, Jon M. Kleinberg
The Generalized Mean Densest Subgraph Problem. CoRR (2021)
Abhay Singh, Qian Huang, Sijia Linda Huang, Omkar Bhalerao, Horace He, Ser-Nam Lim, Austin R. Benson
Edge Proposal Sets for Link Prediction. CoRR (2021)
Nate Veldt, Austin R. Benson, Jon M. Kleinberg
Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components. CoRR (2021)
Nate Veldt, Austin R. Benson, Jon M. Kleinberg
The Generalized Mean Densest Subgraph Problem. KDD (2021)
Austin R. Benson, Nate Veldt, David F. Gleich
fauci-email: a json digest of Anthony Fauci's released emails. CoRR (2021)
Kiran Tomlinson, Johan Ugander, Austin R. Benson
Choice Set Confounding in Discrete Choice. KDD (2021)
Kiran Tomlinson, Johan Ugander, Austin R. Benson
Choice Set Confounding in Discrete Choice. CoRR (2021)
Xiang Fu, Shangdi Yu, Austin R. Benson
Modelling and analysis of tagging networks in Stack Exchange communities. J. Complex Networks 8 (5) (2021)
Arnab Sarker, Jean-Baptiste Seby, Austin R. Benson, Ali Jadbabaie
Higher Order Information Identifies Tie Strength. CoRR (2021)
Nate Veldt, Austin R. Benson, Jon M. Kleinberg
Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components. NeurIPS (2021)
Junteng Jia, Austin R. Benson
A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations. CoRR (2021)
Junteng Jia, Cenk Baykal, Vamsi K. Potluru, Austin R. Benson
Graph Belief Propagation Networks. CoRR (2021)
Derek Lim, Austin R. Benson
Expertise and Dynamics within Crowdsourced Musical Knowledge Curation: A Case Study of the Genius Platform. ICWSM (2021)
Vasileios Charisopoulos, Austin R. Benson, Anil Damle
Communication-Efficient Distributed Eigenspace Estimation. SIAM J. Math. Data Sci. 3 (4) (2021)
Kiran Tomlinson, Austin R. Benson
Learning Interpretable Feature Context Effects in Discrete Choice. KDD (2021)
Philip S. Chodrow, Nate Veldt, Austin R. Benson
Generative hypergraph clustering: from blockmodels to modularity. CoRR (2021)
Francesco Tudisco, Austin R. Benson, Konstantin Prokopchik
Nonlinear Higher-Order Label Spreading. WWW (2021)
Francesco Tudisco, Konstantin Prokopchik, Austin R. Benson
A nonlinear diffusion method for semi-supervised learning on hypergraphs. CoRR (2021)
Katherine Van Koevering, Austin R. Benson, Jon M. Kleinberg
Random Graphs with Prescribed K-Core Sequences: A New Null Model for Network Analysis. CoRR (2021)
Qian Huang, Horace He, Abhay Singh, Ser-Nam Lim, Austin R. Benson
Combining Label Propagation and Simple Models out-performs Graph Neural Networks. ICLR (2021)
Austin R. Benson, David F. Gleich, Desmond J. Higham
Higher-order Network Analysis Takes Off, Fueled by Classical Ideas and New Data. CoRR (2021)
Nate Veldt, Austin R. Benson, Jon M. Kleinberg
Higher-order Homophily is Combinatorially Impossible. CoRR (2021)
Huda Nassar, Caitlin Kennedy, Shweta Jain, Austin R. Benson, David F. Gleich
Using Cliques with Higher-order Spectral Embeddings Improves Graph Visualizations. WWW (2020)
Kiran Tomlinson, Austin R. Benson
Choice Set Optimization Under Discrete Choice Models of Group Decisions. ICML (2020)
Ilya Amburg, Nate Veldt, Austin R. Benson
Clustering in graphs and hypergraphs with categorical edge labels. WWW (2020)
Vasileios Charisopoulos, Austin R. Benson, Anil Damle
Entrywise convergence of iterative methods for eigenproblems. NeurIPS (2020)
Austin R. Benson, Anil Damle, Alex Townsend
Over-parametrized neural networks as under-determined linear systems. CoRR (2020)
Nate Veldt, Austin R. Benson, Jon M. Kleinberg
Hypergraph Cuts with General Splitting Functions. CoRR (2020)
Junteng Jia, Austin R. Benson
Residual Correlation in Graph Neural Network Regression. KDD (2020)
Hao Yin, Austin R. Benson, Johan Ugander
Measuring directed triadic closure with closure coefficients. Netw. Sci. 8 (4) (2020)
Francesco Tudisco, Austin R. Benson, Konstantin Prokopchik
Nonlinear Higher-Order Label Spreading. CoRR (2020)
Ilya Amburg, Nate Veldt, Austin R. Benson
Fair Clustering for Diverse and Experienced Groups. CoRR (2020)
Junteng Jia, Austin R. Benson
Outcome Correlation in Graph Neural Network Regression. CoRR (2020)
Raunak Kumar, Paul Liu, Moses Charikar, Austin R. Benson
Retrieving Top Weighted Triangles in Graphs. WSDM (2020)
Kiran Tomlinson, Austin R. Benson
Learning Interpretable Feature Context Effects in Discrete Choice. CoRR (2020)
Kiran Tomlinson, Austin R. Benson
Choice Set Optimization Under Discrete Choice Models of Group Decisions. CoRR (2020)
Thomas Reeves, Anil Damle, Austin R. Benson
Network Interpolation. SIAM J. Math. Data Sci. 2 (2) (2020)
Vasileios Charisopoulos, Austin R. Benson, Anil Damle
Entrywise convergence of iterative methods for eigenproblems. CoRR (2020)
Vasileios Charisopoulos, Austin R. Benson, Anil Damle
Communication-efficient distributed eigenspace estimation. CoRR (2020)
Michael T. Schaub, Austin R. Benson, Paul Horn, Gabor Lippner, Ali Jadbabaie
Random Walks on Simplicial Complexes and the Normalized Hodge 1-Laplacian. SIAM Rev. 62 (2) (2020)
Austin R. Benson, Jon M. Kleinberg, Nate Veldt
Augmented Sparsifiers for Generalized Hypergraph Cuts. CoRR (2020)
Katherine Van Koevering, Austin R. Benson, Jon M. Kleinberg
Frozen Binomials on the Web: Word Ordering and Language Conventions in Online Text. CoRR (2020)
Nate Veldt, Austin R. Benson, Jon M. Kleinberg
Localized Flow-Based Clustering in Hypergraphs. CoRR (2020)
Huda Nassar, Austin R. Benson, David F. Gleich
Neighborhood and PageRank methods for pairwise link prediction. Soc. Netw. Anal. Min. 10 (1) (2020)
Austin R. Benson, Paul Liu, Hao Yin
A simple bipartite graph projection model for clustering in networks. CoRR (2020)
Qian Huang, Horace He, Abhay Singh, Ser-Nam Lim, Austin R. Benson
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks. CoRR (2020)
Nate Veldt, Austin R. Benson, Jon M. Kleinberg
Minimizing Localized Ratio Cut Objectives in Hypergraphs. KDD (2020)
Derek Lim, Austin R. Benson
Expertise and Dynamics within Crowdsourced Musical Knowledge Curation: A Case Study of the Genius Platform. CoRR (2020)
Katherine Van Koevering, Austin R. Benson, Jon M. Kleinberg
Frozen Binomials on the Web: Word Ordering and Language Conventions in Online Text. WWW (2020)
Qian Huang, Horace He, Abhay Singh, Yan Zhang, Ser-Nam Lim, Austin R. Benson
Set-Structured Latent Representations. CoRR (2020)
Qian Huang, Horace He, Abhay Singh, Yan Zhang, Ser-Nam Lim, Austin R. Benson
Better Set Representations For Relational Reasoning. NeurIPS (2020)
Austin R. Benson, David F. Gleich
Computing Tensor Z-Eigenvectors with Dynamical Systems. SIAM J. Matrix Anal. Appl. 40 (4) (2019)
Huda Nassar, Austin R. Benson, David F. Gleich
Pairwise Link Prediction. CoRR (2019)
Paul Liu, Austin R. Benson, Moses Charikar
Sampling Methods for Counting Temporal Motifs. WSDM (2019)
Huda Nassar, Austin R. Benson, David F. Gleich
Pairwise link prediction. ASONAM (2019)
Hao Yin, Austin R. Benson, Johan Ugander
Measuring Directed Triadic Closure with Closure Coefficients. CoRR (2019)
Thomas Reeves, Anil Damle, Austin R. Benson
Network interpolation. CoRR (2019)
Kun Dong, Austin R. Benson, David Bindel
Network Density of States. KDD (2019)
Jan Overgoor, Austin R. Benson, Johan Ugander
Choosing to Grow a Graph: Modeling Network Formation as Discrete Choice. WWW (2019)
Ilya Amburg, Jon M. Kleinberg, Austin R. Benson
Planted Hitting Set Recovery in Hypergraphs. CoRR (2019)
Junteng Jia, Austin R. Benson
Random Spatial Network Models for Core-Periphery Structure. WSDM (2019)
Austin R. Benson
Three Hypergraph Eigenvector Centralities. SIAM J. Math. Data Sci. 1 (2) (2019)
Hao Yin, Austin R. Benson, Jure Leskovec
The Local Closure Coefficient: A New Perspective On Network Clustering. WSDM (2019)
Junteng Jia, Austin R. Benson
Neural Jump Stochastic Differential Equations. NeurIPS (2019)
Vasileios Charisopoulos, Austin R. Benson, Anil Damle
Incrementally Updated Spectral Embeddings. CoRR (2019)
Kun Dong, Austin R. Benson, David Bindel
Network Density of States. CoRR (2019)
Junteng Jia, Michael T. Schaub, Santiago Segarra, Austin R. Benson
Graph-based Semi-Supervised & Active Learning for Edge Flows. KDD (2019)
Xiang Fu, Shangdi Yu, Austin R. Benson
Modeling and Analysis of Tagging Networks in Stack Exchange Communities. CoRR (2019)
Junteng Jia, Michael T. Schaub, Santiago Segarra, Austin R. Benson
Graph-based Semi-Supervised & Active Learning for Edge Flows. CoRR (2019)
Junteng Jia, Austin R. Benson
Neural Jump Stochastic Differential Equations. CoRR (2019)
Ilya Amburg, Nate Veldt, Austin R. Benson
Hypergraph clustering with categorical edge labels. CoRR (2019)
Raunak Kumar, Paul Liu, Moses Charikar, Austin R. Benson
Retrieving Top Weighted Triangles in Graphs. CoRR (2019)
Austin R. Benson, Jon M. Kleinberg
Link Prediction in Networks with Core-Fringe Data. WWW (2019)
Austin R. Benson, Jon M. Kleinberg
Core-fringe link prediction. CoRR (2018)
Paul Liu, Austin R. Benson, Moses Charikar
A sampling framework for counting temporal motifs. CoRR (2018)
Austin R. Benson, Jon M. Kleinberg
Found Graph Data and Planted Vertex Covers. CoRR (2018)
Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, Jon M. Kleinberg
Simplicial Closure and Higher-order Link Prediction. CoRR (2018)
Austin R. Benson, Jon M. Kleinberg
Found Graph Data and Planted Vertex Covers. NeurIPS (2018)
Austin R. Benson
Three hypergraph eigenvector centralities. CoRR (2018)
Austin R. Benson, Ravi Kumar, Andrew Tomkins
A Discrete Choice Model for Subset Selection. WSDM (2018)
Austin R. Benson, Ravi Kumar, Andrew Tomkins
Sequences of Sets. KDD (2018)
Junteng Jia, Austin R. Benson
Detecting Core-Periphery Structure in Spatial Networks. CoRR (2018)
Michael T. Schaub, Austin R. Benson, Paul Horn, Gabor Lippner, Ali Jadbabaie
Random Walks on Simplicial Complexes and the normalized Hodge Laplacian. CoRR (2018)
Jan Overgoor, Austin R. Benson, Johan Ugander
Choosing to grow a graph: Modeling network formation as discrete choice. CoRR (2018)
Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, Jon M. Kleinberg
Simplicial closure and higher-order link prediction. Proc. Natl. Acad. Sci. USA 115 (48) (2018)
Austin R. Benson
Tools for higher-order network analysis. CoRR (2018)
Austin R. Benson, David F. Gleich
Computing tensor Z-eigenvectors with dynamical systems. CoRR (2018)
Austin R. Benson, David F. Gleich, Lek-Heng Lim
The Spacey Random Walk: A Stochastic Process for Higher-Order Data. SIAM Rev. 59 (2) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Austin R. Benson