Search Results - "Aksoy, Sinan G."

Hypernetwork science via high-order hypergraph walks by Aksoy, Sinan G., Joslyn, Cliff, Ortiz Marrero, Carlos, Praggastis, Brenda, Purvine, Emilie

“…We propose high-order hypergraph walks as a framework to generalize graph-based network science techniques to hypergraphs. Edge incidence in hypergraphs is…”
Get full text

Filtering higher-order datasets by Landry, Nicholas W, Amburg, Ilya, Shi, Mirah, Aksoy, Sinan G

“…Many complex systems often contain interactions between more than two nodes, known as higher-order interactions , which can change the structure of these…”
Get full text

Relative Hausdorff distance for network analysis by Aksoy, Sinan G., Nowak, Kathleen E., Purvine, Emilie, Young, Stephen J.

“…Similarity measures are used extensively in machine learning and data science algorithms. The newly proposed graph Relative Hausdorff (RH) distance is a…”
Get full text

Ramanujan graphs and the spectral gap of supercomputing topologies by Aksoy, Sinan G., Bruillard, Paul, Young, Stephen J., Raugas, Mark

“…Graph eigenvalues play a fundamental role in controlling structural properties which are critical considerations in the design of supercomputing…”
Get full text

Spectral Threshold for Extremal Cyclic Edge-Connectivity by Aksoy, Sinan G., Kempton, Mark, Young, Stephen J.

“…The universal cyclic edge-connectivity of a graph G is the least k such that there exists a set of k edges whose removal disconnects G into components where…”
Get full text

Fast Parallel Tensor Times Same Vector for Hypergraphs by Shivakumar, Shruti, Amburg, Ilya, Aksoy, Sinan G., Li, Jiajia, Young, Stephen J., Aluru, Srinivas

“…Hypergraphs are a popular paradigm to represent complex real-world networks exhibiting multi-way relationships of varying sizes. Mining centrality in…”
Get full text

A generative graph model for electrical infrastructure networks by Aksoy, Sinan G, Purvine, Emilie, Cotilla-Sanchez, Eduardo, Halappanavar, Mahantesh

Get full text

Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs by Hayashi, Koby, Aksoy, Sinan G., Park, Haesun

“…Cut-based directed graph (digraph) clustering often focuses on finding dense within-cluster or sparse between-cluster connections, similar to cut-based…”
Get full text

Structural Controllability Assessment for Inverter-Based Microgrids by Roy, Sandip, Aksoy, Sinan G., Sarker, Subir, Wang, Peng, Young, Stephen J.

“…Enhanced inverter-based controls are considered for microgrids, which use additional actuation beyond a droop-like term. Shaping of the microgrid's…”
Get full text

Measuring and modeling bipartite graphs with community structure by Aksoy, Sinan G., Kolda, Tamara G., Pinar, Ali

“…Abstract Network science is a powerful tool for analyzing complex systems in fields ranging from sociology to engineering to biology. This article is focused…”
Get full text

A generative graph model for electrical infrastructure networks by Aksoy, Sinan G., Purvine, Emilie, Cotilla-Sanchez, Eduardo, Halappanavar, Mahantesh, Lambiotte, Renaud

“…We propose a generative graph model for electrical infrastructure networks that accounts for heterogeneity in both node and edge type. To inform the model…”
Get full text

Explaining and predicting human behavior and social dynamics in simulated virtual worlds: reproducibility, generalizability, and robustness of causal discovery methods by Volkova, Svitlana, Arendt, Dustin L., Saldanha, Emily G., Glenski, Maria F., Ayton, Ellyn M., Cottam, Joseph A., Aksoy, Sinan G., Jefferson, Brett A., Shrivaram, Karthik

“…Ground Truth program was designed to evaluate social science modeling approaches using simulation test beds with ground truth intentionally and systematically…”
Get full text

A generative graph model for electrical infrastructure networks by Aksoy, Sinan G., Purvine, Emilie AH, Cotilla Sanchez, Eduardo, Halappanavar, Mahantesh

“…We propose a generative graph model for electrical infrastructure networks that accounts for heterogeneity in both node and edge type. To inform the design of…”
Get full text

Randomized Algorithms for Symmetric Nonnegative Matrix Factorization by Hayashi, Koby, Aksoy, Sinan G, Ballard, Grey, Park, Haesun

“…Symmetric Nonnegative Matrix Factorization (SymNMF) is a technique in data analysis and machine learning that approximates a symmetric matrix with a product of…”
Get full text

Filtering higher-order datasets by Landry, Nicholas W, Amburg, Ilya, Shi, Mirah, Aksoy, Sinan G

“…Many complex systems often contain interactions between more than two nodes, known as higher-order interactions, which can change the structure of these…”
Get full text

Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs by Hayashi, Koby, Aksoy, Sinan G, Park, Haesun

“…Cut-based directed graph (digraph) clustering often focuses on finding dense within-cluster or sparse between-cluster connections, similar to cut-based…”
Get full text

Scalable tensor methods for nonuniform hypergraphs by Aksoy, Sinan G, Amburg, Ilya, Young, Stephen J

“…While multilinear algebra appears natural for studying the multiway interactions modeled by hypergraphs, tensor methods for general hypergraphs have been…”
Get full text

HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Network by Benko, Tatyana, Buck, Martin, Amburg, Ilya, Young, Stephen J, Aksoy, Sinan G

“…In data science, hypergraphs are natural models for data exhibiting multi-way relations, whereas graphs only capture pairwise. Nonetheless, many proposed…”
Get full text

Fast Parallel Tensor Times Same Vector for Hypergraphs by Shivakumar, Shruti, Amburg, Ilya, Aksoy, Sinan G, Li, Jiajia, Young, Stephen J, Aluru, Srinivas

“…Hypergraphs are a popular paradigm to represent complex real-world networks exhibiting multi-way relationships of varying sizes. Mining centrality in…”
Get full text

Retrieving Top-k Hyperedge Triplets: Models and Applications by Niu, Jason, Amburg, Ilya D, Aksoy, Sinan G, Sarıyüce, Ahmet Erdem

“…Complex systems frequently exhibit multi-way, rather than pairwise, interactions. These group interactions cannot be faithfully modeled as collections of…”
Get full text