Austin R Benson

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David GleichPurdue UniversityPatvirtintas el. paštas purdue.edu
Jon KleinbergProfessor of Computer Science, Cornell UniversityPatvirtintas el. paštas cs.cornell.edu
Jure LeskovecProfessor of Computer Science, Stanford UniversityPatvirtintas el. paštas cs.stanford.edu
Nate VeldtTexas A&M UniversityPatvirtintas el. paštas tamu.edu
Junteng JiaFacebook AIPatvirtintas el. paštas cornell.edu
Ali JadbabaieJR East Professor of Engineering, MITPatvirtintas el. paštas mit.edu
Hao YinPhD Student, Stanford UniversityPatvirtintas el. paštas stanford.edu
Michael T. SchaubRWTH Aachen UniversityPatvirtintas el. paštas mit.edu
Sernam LimAssociate Professor, CS, University of Central FloridaPatvirtintas el. paštas ucf.edu
Horace HeCornell UniversityPatvirtintas el. paštas cornell.edu
Ilya AmburgRochester Institute of Technology; Pacific Northwest National LaboratoryPatvirtintas el. paštas rit.edu
Andrew TomkinsGooglePatvirtintas el. paštas google.com
Grey BallardWake Forest UniversityPatvirtintas el. paštas wfu.edu
Ashwin ParanjapeFounding engineer, Samaya AIPatvirtintas el. paštas cs.stanford.edu
Paul HornProfessor of Mathematics, University of DenverPatvirtintas el. paštas du.edu
Gabor P LippnerAssociate Professor, Northeastern UniversityPatvirtintas el. paštas northeastern.edu
Paul LiuStanford UniversityPatvirtintas el. paštas cs.stanford.edu
Johan UganderAssociate Professor, Stanford UniversityPatvirtintas el. paštas stanford.edu
Moses CharikarProfessor of Computer Science, Stanford UniversityPatvirtintas el. paštas cs.stanford.edu
Anil DamleCornell UniversityPatvirtintas el. paštas cornell.edu

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Austin R Benson

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Patvirtintas el. paštas deshaw.com - Pagrindinis puslapis

network science machine learning algorithms numerical linear algebra numerical analysis


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Higher-order organization of complex networks AR Benson, DF Gleich, J Leskovec Science 353 (6295), 163-166, 2016	1364	2016
Motifs in temporal networks A Paranjape, AR Benson, J Leskovec Proceedings of the tenth ACM international conference on web search and data …, 2017	856	2017
Local higher-order graph clustering H Yin, AR Benson, J Leskovec, DF Gleich Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017	765	2017
Simplicial closure and higher-order link prediction AR Benson, R Abebe, MT Schaub, A Jadbabaie, J Kleinberg Proceedings of the National Academy of Sciences 115 (48), E11221-E11230, 2018	559	2018
Combining label propagation and simple models out-performs graph neural networks Q Huang, H He, A Singh, SN Lim, AR Benson International Conference on Learning Representations, 2021	358	2021
Random walks on simplicial complexes and the normalized Hodge 1-Laplacian MT Schaub, AR Benson, P Horn, G Lippner, A Jadbabaie SIAM Review 62 (2), 353-391, 2020	318	2020
Neural Jump Stochastic Differential Equations J Jia, AR Benson Advances in Neural Information Processing Systems 32, 2019	278	2019
Tensor spectral clustering for partitioning higher-order network structures AR Benson, DF Gleich, J Leskovec Proceedings of the 2015 SIAM International Conference on Data Mining, 118-126, 2015	167	2015
Generative hypergraph clustering: From blockmodels to modularity PS Chodrow, N Veldt, AR Benson Science Advances 7 (28), eabh1303, 2021	164	2021
Three hypergraph eigenvector centralities AR Benson SIAM Journal on Mathematics of Data Science 1 (2), 293-312, 2019	128	2019
Higher-order clustering in networks H Yin, AR Benson, J Leskovec Physical Review E 97 (5), 052306, 2018	128	2018
A framework for practical parallel fast matrix multiplication AR Benson, G Ballard ACM SIGPLAN Notices 50 (8), 42-53, 2015	120	2015
The spacey random walk: A stochastic process for higher-order data AR Benson, DF Gleich, LH Lim SIAM Review 59 (2), 321-345, 2017	106	2017
Graph-based semi-supervised & active learning for edge flows J Jia, MT Schaub, S Segarra, AR Benson Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019	100	2019
Residual correlation in graph neural network regression J Jia, AR Benson Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020	99	2020
Modeling user consumption sequences AR Benson, R Kumar, A Tomkins Proceedings of the 25th International Conference on World Wide Web, 519-529, 2016	99	2016
Clustering in graphs and hypergraphs with categorical edge labels I Amburg, N Veldt, A Benson Proceedings of the web conference 2020, 706-717, 2020	97	2020
Silent error detection in numerical time-stepping schemes AR Benson, S Schmit, R Schreiber The International Journal of High Performance Computing Applications 29 (4 …, 2015	96	2015
Sampling methods for counting temporal motifs P Liu, AR Benson, M Charikar Proceedings of the twelfth ACM international conference on web search and …, 2019	94*	2019
On the relevance of irrelevant alternatives AR Benson, R Kumar, A Tomkins Proceedings of the 25th international conference on world wide web, 963-973, 2016	84	2016

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