Austin R. Benson

126 papers A* 28A 10B 2Journal 83Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Graph-based methods for discrete choice. Netw. Sci. Kiran Tomlinson, Austin R. Benson
2023	J	`jnl`	Augmented Sparsifiers for Generalized Hypergraph Cuts. J. Mach. Learn. Res. Nate Veldt, Austin R. Benson, Jon M. Kleinberg
2022	J	`jnl`	A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations. SIAM J. Math. Data Sci. Junteng Jia, Austin R. Benson
2022	A	`conf`	Diverse and Experienced Group Discovery via Hypergraph Clustering. SDM Ilya Amburg, Nate Veldt, Austin R. Benson
2022	A	`conf`	Fauci-Email: A JSON Digest of Anthony Fauci's Released Emails. ICWSM Austin R. Benson, Nate Veldt, David F. Gleich
2022	J	`jnl`	Graph-Based Methods for Discrete Choice. CoRR Kiran Tomlinson, Austin R. Benson
2022	J	`jnl`	Hypergraph Cuts with General Splitting Functions. SIAM Rev. Nate Veldt, Austin R. Benson, Jon M. Kleinberg
2022	J	`jnl`	Hypergraph patterns and collaboration structure. CoRR Jonas L. Juul, Austin R. Benson, Jon M. Kleinberg
2022	A*	`conf`	Nonlinear Feature Diffusion on Hypergraphs. ICML Konstantin Prokopchik, Austin R. Benson, Francesco Tudisco
2022	A*	`conf`	Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective. NeurIPS Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li
2022	J	`jnl`	Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective. CoRR Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li
2021	J	`jnl`	A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations. CoRR Junteng Jia, Austin R. Benson
2021	J	`jnl`	A nonlinear diffusion method for semi-supervised learning on hypergraphs. CoRR Francesco Tudisco, Konstantin Prokopchik, Austin R. Benson
2021	A*	`conf`	Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components. NeurIPS Nate Veldt, Austin R. Benson, Jon M. Kleinberg
2021	J	`jnl`	Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components. CoRR Nate Veldt, Austin R. Benson, Jon M. Kleinberg
2021	A*	`conf`	Choice Set Confounding in Discrete Choice. KDD Kiran Tomlinson, Johan Ugander, Austin R. Benson
2021	J	`jnl`	Choice Set Confounding in Discrete Choice. CoRR Kiran Tomlinson, Johan Ugander, Austin R. Benson
2021	A*	`conf`	Combining Label Propagation and Simple Models out-performs Graph Neural Networks. ICLR Qian Huang, Horace He, Abhay Singh, Ser-Nam Lim, Austin R. Benson
2021	J	`jnl`	Communication-Efficient Distributed Eigenspace Estimation. SIAM J. Math. Data Sci. Vasileios Charisopoulos, Austin R. Benson, Anil Damle
2021	J	`jnl`	Edge Proposal Sets for Link Prediction. CoRR Abhay Singh, Qian Huang, Sijia Linda Huang, Omkar Bhalerao, Horace He, Ser-Nam Lim, Austin R. Benson
2021	A	`conf`	Expertise and Dynamics within Crowdsourced Musical Knowledge Curation: A Case Study of the Genius Platform. ICWSM Derek Lim, Austin R. Benson
2021	J	`jnl`	Generative hypergraph clustering: from blockmodels to modularity. CoRR Philip S. Chodrow, Nate Veldt, Austin R. Benson
2021	J	`jnl`	Graph Belief Propagation Networks. CoRR Junteng Jia, Cenk Baykal, Vamsi K. Potluru, Austin R. Benson
2021	J	`jnl`	Higher Order Information Identifies Tie Strength. CoRR Arnab Sarker, Jean-Baptiste Seby, Austin R. Benson, Ali Jadbabaie
2021	J	`jnl`	Higher-order Homophily is Combinatorially Impossible. CoRR Nate Veldt, Austin R. Benson, Jon M. Kleinberg
2021	J	`jnl`	Higher-order Network Analysis Takes Off, Fueled by Classical Ideas and New Data. CoRR Austin R. Benson, David F. Gleich, Desmond J. Higham
2021	A*	`conf`	Learning Interpretable Feature Context Effects in Discrete Choice. KDD Kiran Tomlinson, Austin R. Benson
2021	J	`jnl`	Modelling and analysis of tagging networks in Stack Exchange communities. J. Complex Networks Xiang Fu, Shangdi Yu, Austin R. Benson
2021	A*	`conf`	Nonlinear Higher-Order Label Spreading. WWW Francesco Tudisco, Austin R. Benson, Konstantin Prokopchik
2021	A*	`conf`	Random Graphs with Prescribed K-Core Sequences: A New Null Model for Network Analysis. WWW Katherine Van Koevering, Austin R. Benson, Jon M. Kleinberg
2021	J	`jnl`	Random Graphs with Prescribed K-Core Sequences: A New Null Model for Network Analysis. CoRR Katherine Van Koevering, Austin R. Benson, Jon M. Kleinberg
2021	A*	`conf`	The Generalized Mean Densest Subgraph Problem. KDD Nate Veldt, Austin R. Benson, Jon M. Kleinberg
2021	J	`jnl`	The Generalized Mean Densest Subgraph Problem. CoRR Nate Veldt, Austin R. Benson, Jon M. Kleinberg
2021	J	`jnl`	fauci-email: a json digest of Anthony Fauci's released emails. CoRR Austin R. Benson, Nate Veldt, David F. Gleich
2020	J	`jnl`	A simple bipartite graph projection model for clustering in networks. CoRR Austin R. Benson, Paul Liu, Hao Yin
2020	J	`jnl`	Augmented Sparsifiers for Generalized Hypergraph Cuts. CoRR Austin R. Benson, Jon M. Kleinberg, Nate Veldt
2020	A*	`conf`	Better Set Representations For Relational Reasoning. NeurIPS Qian Huang, Horace He, Abhay Singh, Yan Zhang, Ser-Nam Lim, Austin R. Benson
2020	A*	`conf`	Choice Set Optimization Under Discrete Choice Models of Group Decisions. ICML Kiran Tomlinson, Austin R. Benson
2020	J	`jnl`	Choice Set Optimization Under Discrete Choice Models of Group Decisions. CoRR Kiran Tomlinson, Austin R. Benson
2020	A*	`conf`	Clustering in graphs and hypergraphs with categorical edge labels. WWW Ilya Amburg, Nate Veldt, Austin R. Benson
2020	J	`jnl`	Combining Label Propagation and Simple Models Out-performs Graph Neural Networks. CoRR Qian Huang, Horace He, Abhay Singh, Ser-Nam Lim, Austin R. Benson
2020	J	`jnl`	Communication-efficient distributed eigenspace estimation. CoRR Vasileios Charisopoulos, Austin R. Benson, Anil Damle
2020	A*	`conf`	Entrywise convergence of iterative methods for eigenproblems. NeurIPS Vasileios Charisopoulos, Austin R. Benson, Anil Damle
2020	J	`jnl`	Entrywise convergence of iterative methods for eigenproblems. CoRR Vasileios Charisopoulos, Austin R. Benson, Anil Damle
2020	J	`jnl`	Expertise and Dynamics within Crowdsourced Musical Knowledge Curation: A Case Study of the Genius Platform. CoRR Derek Lim, Austin R. Benson
2020	J	`jnl`	Fair Clustering for Diverse and Experienced Groups. CoRR Ilya Amburg, Nate Veldt, Austin R. Benson
2020	A*	`conf`	Frozen Binomials on the Web: Word Ordering and Language Conventions in Online Text. WWW Katherine Van Koevering, Austin R. Benson, Jon M. Kleinberg
2020	J	`jnl`	Frozen Binomials on the Web: Word Ordering and Language Conventions in Online Text. CoRR Katherine Van Koevering, Austin R. Benson, Jon M. Kleinberg
2020	J	`jnl`	Hypergraph Cuts with General Splitting Functions. CoRR Nate Veldt, Austin R. Benson, Jon M. Kleinberg
2020	J	`jnl`	Learning Interpretable Feature Context Effects in Discrete Choice. CoRR Kiran Tomlinson, Austin R. Benson
2020	J	`jnl`	Localized Flow-Based Clustering in Hypergraphs. CoRR Nate Veldt, Austin R. Benson, Jon M. Kleinberg
2020	J	`jnl`	Measuring directed triadic closure with closure coefficients. Netw. Sci. Hao Yin, Austin R. Benson, Johan Ugander
2020	A*	`conf`	Minimizing Localized Ratio Cut Objectives in Hypergraphs. KDD Nate Veldt, Austin R. Benson, Jon M. Kleinberg
2020	J	`jnl`	Neighborhood and PageRank methods for pairwise link prediction. Soc. Netw. Anal. Min. Huda Nassar, Austin R. Benson, David F. Gleich
2020	J	`jnl`	Network Interpolation. SIAM J. Math. Data Sci. Thomas Reeves, Anil Damle, Austin R. Benson
2020	J	`jnl`	Nonlinear Higher-Order Label Spreading. CoRR Francesco Tudisco, Austin R. Benson, Konstantin Prokopchik
2020	J	`jnl`	Outcome Correlation in Graph Neural Network Regression. CoRR Junteng Jia, Austin R. Benson
2020	J	`jnl`	Over-parametrized neural networks as under-determined linear systems. CoRR Austin R. Benson, Anil Damle, Alex Townsend
2020	J	`jnl`	Random Walks on Simplicial Complexes and the Normalized Hodge 1-Laplacian. SIAM Rev. Michael T. Schaub, Austin R. Benson, Paul Horn, Gabor Lippner, Ali Jadbabaie
2020	A*	`conf`	Residual Correlation in Graph Neural Network Regression. KDD Junteng Jia, Austin R. Benson
2020	A	`conf`	Retrieving Top Weighted Triangles in Graphs. WSDM Raunak Kumar, Paul Liu, Moses Charikar, Austin R. Benson
2020	J	`jnl`	Set-Structured Latent Representations. CoRR Qian Huang, Horace He, Abhay Singh, Yan Zhang, Ser-Nam Lim, Austin R. Benson
2020	A*	`conf`	Using Cliques with Higher-order Spectral Embeddings Improves Graph Visualizations. WWW Huda Nassar, Caitlin Kennedy, Shweta Jain, Austin R. Benson, David F. Gleich
2019	A*	`conf`	Choosing to Grow a Graph: Modeling Network Formation as Discrete Choice. WWW Jan Overgoor, Austin R. Benson, Johan Ugander
2019	J	`jnl`	Computing Tensor Z-Eigenvectors with Dynamical Systems. SIAM J. Matrix Anal. Appl. Austin R. Benson, David F. Gleich
2019	A*	`conf`	Graph-based Semi-Supervised & Active Learning for Edge Flows. KDD Junteng Jia, Michael T. Schaub, Santiago Segarra, Austin R. Benson
2019	J	`jnl`	Graph-based Semi-Supervised & Active Learning for Edge Flows. CoRR Junteng Jia, Michael T. Schaub, Santiago Segarra, Austin R. Benson
2019	J	`jnl`	Hypergraph clustering with categorical edge labels. CoRR Ilya Amburg, Nate Veldt, Austin R. Benson
2019	J	`jnl`	Incrementally Updated Spectral Embeddings. CoRR Vasileios Charisopoulos, Austin R. Benson, Anil Damle
2019	A*	`conf`	Link Prediction in Networks with Core-Fringe Data. WWW Austin R. Benson, Jon M. Kleinberg
2019	J	`jnl`	Measuring Directed Triadic Closure with Closure Coefficients. CoRR Hao Yin, Austin R. Benson, Johan Ugander
2019	J	`jnl`	Modeling and Analysis of Tagging Networks in Stack Exchange Communities. CoRR Xiang Fu, Shangdi Yu, Austin R. Benson
2019	A*	`conf`	Network Density of States. KDD Kun Dong, Austin R. Benson, David Bindel
2019	J	`jnl`	Network Density of States. CoRR Kun Dong, Austin R. Benson, David Bindel
2019	J	`jnl`	Network interpolation. CoRR Thomas Reeves, Anil Damle, Austin R. Benson
2019	A*	`conf`	Neural Jump Stochastic Differential Equations. NeurIPS Junteng Jia, Austin R. Benson
2019	J	`jnl`	Neural Jump Stochastic Differential Equations. CoRR Junteng Jia, Austin R. Benson
2019	J	`jnl`	Pairwise Link Prediction. CoRR Huda Nassar, Austin R. Benson, David F. Gleich
2019	B	`conf`	Pairwise link prediction. ASONAM Huda Nassar, Austin R. Benson, David F. Gleich
2019	J	`jnl`	Planted Hitting Set Recovery in Hypergraphs. CoRR Ilya Amburg, Jon M. Kleinberg, Austin R. Benson
2019	A	`conf`	Random Spatial Network Models for Core-Periphery Structure. WSDM Junteng Jia, Austin R. Benson
2019	J	`jnl`	Retrieving Top Weighted Triangles in Graphs. CoRR Raunak Kumar, Paul Liu, Moses Charikar, Austin R. Benson
2019	A	`conf`	Sampling Methods for Counting Temporal Motifs. WSDM Paul Liu, Austin R. Benson, Moses Charikar
2019	A	`conf`	The Local Closure Coefficient: A New Perspective On Network Clustering. WSDM Hao Yin, Austin R. Benson, Jure Leskovec
2019	J	`jnl`	Three Hypergraph Eigenvector Centralities. SIAM J. Math. Data Sci. Austin R. Benson
2018	A	`conf`	A Discrete Choice Model for Subset Selection. WSDM Austin R. Benson, Ravi Kumar, Andrew Tomkins
2018	J	`jnl`	A sampling framework for counting temporal motifs. CoRR Paul Liu, Austin R. Benson, Moses Charikar
2018	J	`jnl`	Choosing to grow a graph: Modeling network formation as discrete choice. CoRR Jan Overgoor, Austin R. Benson, Johan Ugander
2018	J	`jnl`	Computing tensor Z-eigenvectors with dynamical systems. CoRR Austin R. Benson, David F. Gleich
2018	J	`jnl`	Core-fringe link prediction. CoRR Austin R. Benson, Jon M. Kleinberg
2018	J	`jnl`	Detecting Core-Periphery Structure in Spatial Networks. CoRR Junteng Jia, Austin R. Benson
2018	A*	`conf`	Found Graph Data and Planted Vertex Covers. NeurIPS Austin R. Benson, Jon M. Kleinberg
2018	J	`jnl`	Found Graph Data and Planted Vertex Covers. CoRR Austin R. Benson, Jon M. Kleinberg
2018	J	`jnl`	Random Walks on Simplicial Complexes and the normalized Hodge Laplacian. CoRR Michael T. Schaub, Austin R. Benson, Paul Horn, Gabor Lippner, Ali Jadbabaie
2018	A*	`conf`	Sequences of Sets. KDD Austin R. Benson, Ravi Kumar, Andrew Tomkins
2018	J	`jnl`	Simplicial Closure and Higher-order Link Prediction. CoRR Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, Jon M. Kleinberg
2018	J	`jnl`	Simplicial closure and higher-order link prediction. Proc. Natl. Acad. Sci. USA Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, Jon M. Kleinberg
2018	J	`jnl`	Three hypergraph eigenvector centralities. CoRR Austin R. Benson
2018	J	`jnl`	Tools for higher-order network analysis. CoRR Austin R. Benson
2017	J	`jnl`	Higher-order clustering in networks. CoRR Hao Yin, Austin R. Benson, Jure Leskovec
2017	A*	`conf`	Local Higher-Order Graph Clustering. KDD Hao Yin, Austin R. Benson, Jure Leskovec, David F. Gleich
2017	A	`conf`	Motifs in Temporal Networks. WSDM Ashwin Paranjape, Austin R. Benson, Jure Leskovec
2017	J	`jnl`	The Spacey Random Walk: A Stochastic Process for Higher-Order Data. SIAM Rev. Austin R. Benson, David F. Gleich, Lek-Heng Lim
2016	—	`conf`	General Tensor Spectral Co-clustering for Higher-Order Data. NIPS Tao Wu, Austin R. Benson, David F. Gleich
2016	J	`jnl`	General Tensor Spectral Co-clustering for Higher-Order Data. CoRR Tao Wu, Austin R. Benson, David F. Gleich
2016	J	`jnl`	Higher-order organization of complex networks. CoRR Austin R. Benson, David F. Gleich, Jure Leskovec
2016	J	`jnl`	Improving the Numerical Stability of Fast Matrix Multiplication. SIAM J. Matrix Anal. Appl. Grey Ballard, Austin R. Benson, Alex Druinsky, Benjamin Lipshitz, Oded Schwartz
2016	A*	`conf`	Modeling User Consumption Sequences. WWW Austin R. Benson, Ravi Kumar, Andrew Tomkins
2016	J	`jnl`	Motifs in Temporal Networks. CoRR Ashwin Paranjape, Austin R. Benson, Jure Leskovec
2016	A*	`conf`	On the Relevance of Irrelevant Alternatives. WWW Austin R. Benson, Ravi Kumar, Andrew Tomkins
2016	J	`jnl`	The Spacey Random Walk: a Stochastic Process for Higher-order Data. CoRR Austin R. Benson, David F. Gleich, Lek-Heng Lim
2015	B	`conf`	A framework for practical parallel fast matrix multiplication. PPoPP Austin R. Benson, Grey Ballard
2015	J	`jnl`	Improving the numerical stability of fast matrix multiplication algorithms. CoRR Grey Ballard, Austin R. Benson, Alex Druinsky, Benjamin Lipshitz, Oded Schwartz
2015	J	`jnl`	Silent error detection in numerical time-stepping schemes. Int. J. High Perform. Comput. Appl. Austin R. Benson, Sven Schmit, Robert Schreiber
2015	A	`conf`	Tensor Spectral Clustering for Partitioning Higher-order Network Structures. SDM Austin R. Benson, David F. Gleich, Jure Leskovec
2015	J	`jnl`	Tensor Spectral Clustering for Partitioning Higher-order Network Structures. CoRR Austin R. Benson, David F. Gleich, Jure Leskovec
2014	J	`jnl`	A Framework for Practical Parallel Fast Matrix Multiplication. CoRR Austin R. Benson, Grey Ballard
2014	J	`jnl`	A Parallel Directional Fast Multipole Method. SIAM J. Sci. Comput. Austin R. Benson, Jack Poulson, Kenneth Tran, Björn Engquist, Lexing Ying
2014	A*	`conf`	Learning multifractal structure in large networks. KDD Austin R. Benson, Carlos Riquelme, Sven Schmit
2014	J	`jnl`	Learning multifractal structure in large networks. CoRR Austin R. Benson, Carlos Riquelme, Sven Schmit
2014	—	`conf`	Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices. NIPS Austin R. Benson, Jason D. Lee, Bartek Rajwa, David F. Gleich
2014	J	`jnl`	Scalable methods for nonnegative matrix factorizations of near-separable tall-and-skinny matrices. CoRR Austin R. Benson, Jason D. Lee, Bartek Rajwa, David F. Gleich
2013	J	`jnl`	A parallel directional Fast Multipole Method. CoRR Austin R. Benson, Jack Poulson, Kenneth Tran, Björn Engquist, Lexing Ying
2013	J	`jnl`	Direct QR factorizations for tall-and-skinny matrices in MapReduce architectures CoRR Austin R. Benson, David F. Gleich, James Demmel
2013	—	`conf`	Direct QR factorizations for tall-and-skinny matrices in MapReduce architectures. IEEE BigData Austin R. Benson, David F. Gleich, James Demmel
2013	J	`jnl`	Silent error detection in numerical time-stepping schemes. CoRR Austin R. Benson, Sven Schmit, Robert Schreiber