Sanjukta Krishnagopal

According to our database, Sanjukta Krishnagopal authored at least 18 papers between 2014 and 2024.

Collaborative distances:

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

2024

A Network-Based Measure of Cosponsorship Influence on Bill Passing in the United States House of Representatives.

Sarah Sotoudeh, Mason A. Porter, Sanjukta Krishnagopal

CoRR, 2024

Bounded-Confidence Models of Opinion Dynamics with Neighborhood Effects.

Sanjukta Krishnagopal, Mason A. Porter

CoRR, 2024

2023

Topology and dynamics of higher-order multiplex networks.

Sanjukta Krishnagopal, Ginestra Bianconi

CoRR, 2023

Graph Neural Tangent Kernel: Convergence on Large Graphs.

Sanjukta Krishnagopal, Luana Ruiz

Proceedings of the International Conference on Machine Learning, 2023

Hate speech and hate crimes: a data-driven study of evolving discourse around marginalized groups.

Malvina Bozhidarova, Jonathn Chang, Aaishah Ale-rasool, Yuxiang Liu, Chongyao Ma, Andrea L. Bertozzi, P. Jeffrey Brantingham, Junyuan Lin, Sanjukta Krishnagopal

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Stroke recovery phenotyping through network trajectory approaches and graph neural networks.

Sanjukta Krishnagopal, Keith Lohse, Robynne Braun

Brain Informatics, 2022

The collective vs individual nature of mountaineering: a network and simplicial approach.

Sanjukta Krishnagopal

Appl. Netw. Sci., 2022

Preserving Data Manifold Structure in Latent Space for Exploration through Network Geodesics.

Sanjukta Krishnagopal, Jacob Bedrossian

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Spectral Detection of Simplicial Communities via Hodge Laplacians.

Sanjukta Krishnagopal, Ginestra Bianconi

CoRR, 2021

Success at High Peaks: A Multiscale Approach Combining Individual and Expedition-Wide Factors.

Sanjukta Krishnagopal

Proceedings of the Complex Networks & Their Applications X - Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

2020

Uncovering Patterns in Complex Data with Reservoir Computing and Network Analytics: a dynamical Systems Approach.

Sanjukta Krishnagopal

PhD thesis, 2020

Encoded Prior Sliced Wasserstein AutoEncoder for learning latent manifold representations.

Sanjukta Krishnagopal, Jacob Bedrossian

CoRR, 2020

Trajectory Clustering in Multi-layer Networks: Identifying Parkinson's Subtypes.

Sanjukta Krishnagopal

CoRR, 2020

2019

Separation of Chaotic Signals by Reservoir Computing.

Sanjukta Krishnagopal, Michelle Girvan, Edward Ott, Brian R. Hunt

CoRR, 2019

Encoding of a Chaotic Attractor in a Reservoir Computer: A Directional Fiber Investigation.

Sanjukta Krishnagopal, Garrett E. Katz, Michelle Girvan, James A. Reggia

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Similarity Learning and Generalization with Limited Data: A Reservoir Computing Approach.

Sanjukta Krishnagopal, Yiannis Aloimonos, Michelle Girvan

Complex., 2018

Bidirectional Convolutional LSTM for the Detection of Violence in Videos.

Alex Hanson, Koutilya PNVR, Sanjukta Krishnagopal, Larry Davis

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2014

Image Encryption and Steganography Using Chaotic Maps with a Double Key Protection.

Sanjukta Krishnagopal, Sakshi Pratap, Bijil Prakash

Proceedings of Fourth International Conference on Soft Computing for Problem Solving, 2014