Huda Nassar

According to our database, Huda Nassar authored at least 16 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Dominant Z-Eigenpairs of Tensor Kronecker Products Decouple.

Charles Colley, Huda Nassar, David F. Gleich

SIAM J. Matrix Anal. Appl., September, 2023

Aligning Spatially Constrained Graphs.

Vikram Ravindra, Huda Nassar, David F. Gleich, Ananth Grama

IEEE Trans. Knowl. Data Eng., August, 2023

Large-scale correlation network construction for unraveling the coordination of complex biological systems.

Martin Becker, Huda Nassar, Camilo Espinosa, Ina A. Stelzer, Dorien Feyaerts, Eloïse Berson, Neda Hajiakhoond Bidoki, Alan L. Chang, Geetha Saarunya, Anthony Culos, Davide De Francesco, Ramin Fallahzadeh, Qun Liu, Yeasul Kim, Ivana Maric, Samson Mataraso, Seyedeh Neelufar Payrovnaziri, Thanaphong Phongpreecha, Neal G. Ravindra, Natalie Stanley, Sayane Shome, Yuqi Tan, Melan Thuraiappah, Maria Xenochristou, Lei Xue, Gary M. Shaw, David K. Stevenson, Martin S. Angst, Brice Gaudilliere, Nima Aghaeepour

Nat. Comput. Sci., 2023

2022

Early prediction and longitudinal modeling of preeclampsia from multiomics.

Ivana Maric, Kévin Contrepois, Mira N. Moufarrej, Ina A. Stelzer, Dorien Feyaerts, Xiaoyuan Han, Andy Tang, Natalie Stanley, Ronald J. Wong, Gavin M. Traber, Mathew Ellenberger, Alan L. Chang, Ramin Fallahzadeh, Huda Nassar, Martin Becker, Maria Xenochristou, Camilo Espinosa, Davide De Francesco, Mohammad S. Ghaemi, Elizabeth K. Costello, Anthony Culos, Xuefeng Bruce Ling, Karl G. Sylvester, Gary L. Darmstadt, Virginia D. Winn, Gary M. Shaw, David A. Relman, Stephen R. Quake, Martin S. Angst, Michael P. Snyder, David K. Stevenson, Brice Gaudilliere, Nima Aghaeepour

Patterns, 2022

2021

Scalable Algorithms for Multiple Network Alignment.

Huda Nassar, Georgios Kollias, Ananth Grama, David F. Gleich

SIAM J. Sci. Comput., 2021

2020

Neighborhood and PageRank methods for pairwise link prediction.

Huda Nassar, Austin R. Benson, David F. Gleich

Soc. Netw. Anal. Min., 2020

Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions.

Anthony Culos, Amy Tsai, Natalie Stanley, Martin Becker, Mohammad Sajjad Ghaemi, David Mcilwain, Ramin Fallahzadeh, Athena Tanada, Huda Nassar, Camilo Espinosa, Maria Xenochristou, Edward Ganio, Laura Peterson, Xiaoyuan Han, Ina A. Stelzer, Kazuo Ando, Dyani Gaudilliere, Thanaphong Phongpreecha, Ivana Maric, Alan L. Chang, Gary M. Shaw, David K. Stevenson, Sean Bendall, Kara L. Davis, Wendy J. Fantl, Garry P. Nolan, Trevor Hastie, Robert Tibshirani, Martin S. Angst, Brice Gaudilliere, Nima Aghaeepour

Nat. Mach. Intell., 2020

Addressing Computational Bottlenecks in Higher-Order Graph Matching with Tensor Kronecker Product Structure.

Charles Colley, Huda Nassar, David F. Gleich

CoRR, 2020

Using Cliques with Higher-order Spectral Embeddings Improves Graph Visualizations.

Huda Nassar, Caitlin Kennedy, Shweta Jain, Austin R. Benson, David F. Gleich

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

Multimodal network diffusion predicts future disease-gene-chemical associations.

Chih-Hsu Lin, Daniel M. Konecki, Meng Liu, Stephen J. Wilson, Huda Nassar, Angela D. Wilkins, David F. Gleich, Olivier Lichtarge

Bioinform., 2019

Rigid Graph Alignment.

Vikram Ravindra, Huda Nassar, David F. Gleich, Ananth Grama

Proceedings of the Complex Networks and Their Applications VIII, 2019

Pairwise link prediction.

Huda Nassar, Austin R. Benson, David F. Gleich

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Low rank methods for multiple network alignment.

Huda Nassar, Georgios Kollias, Ananth Grama, David F. Gleich

CoRR, 2018

Low Rank Spectral Network Alignment.

Huda Nassar, Nate Veldt, Shahin Mohammadi, Ananth Grama, David F. Gleich

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

2017

Multimodal Network Alignment.

Huda Nassar, David F. Gleich

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

2015

Strong Localization in Personalized PageRank Vectors.

Huda Nassar, Kyle Kloster, David F. Gleich

Proceedings of the Algorithms and Models for the Web Graph - 12th International Workshop, 2015