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ORCIDSanjukta Krishnagopal
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2020 – today
- 2024
[i12]Sanjukta Krishnagopal, Mason A. Porter:
Bounded-Confidence Models of Opinion Dynamics with Neighborhood Effects. CoRR abs/2402.05368 (2024)- [i11]Sarah Sotoudeh, Mason A. Porter, Sanjukta Krishnagopal:
A Network-Based Measure of Cosponsorship Influence on Bill Passing in the United States House of Representatives. CoRR abs/2406.19554 (2024) - 2023
- [c7]Malvina Bozhidarova, Jonathn Chang, Aaishah Ale-rasool, Yuxiang Liu, Chongyao Ma, Andrea L. Bertozzi
, P. Jeffrey Brantingham, Junyuan Lin, Sanjukta Krishnagopal:
Hate speech and hate crimes: a data-driven study of evolving discourse around marginalized groups. IEEE Big Data 2023: 3107-3116 - [c6]Sanjukta Krishnagopal, Luana Ruiz:
Graph Neural Tangent Kernel: Convergence on Large Graphs. ICML 2023: 17827-17841 - [i10]Sanjukta Krishnagopal, Luana Ruiz:
Graph Neural Tangent Kernel: Convergence on Large Graphs. CoRR abs/2301.10808 (2023) - [i9]Sanjukta Krishnagopal, Ginestra Bianconi:
Topology and dynamics of higher-order multiplex networks. CoRR abs/2308.14189 (2023) - [i8]Malvina Bozhidarova, Jonathn Chang, Aaishah Ale-rasool, Yuxiang Liu, Chongyao Ma, Andrea L. Bertozzi, P. Jeffrey Brantingham, Junyuan Lin, Sanjukta Krishnagopal:
Hate speech and hate crimes: a data-driven study of evolving discourse around marginalized groups. CoRR abs/2311.11163 (2023) - 2022
- [j3]Sanjukta Krishnagopal:
The collective vs individual nature of mountaineering: a network and simplicial approach. Appl. Netw. Sci. 7(1): 62 (2022) - [j2]Sanjukta Krishnagopal, Keith Lohse, Robynne Braun:
Stroke recovery phenotyping through network trajectory approaches and graph neural networks. Brain Informatics 9(1): 13 (2022) - [c5]Sanjukta Krishnagopal, Jacob Bedrossian:
Preserving Data Manifold Structure in Latent Space for Exploration through Network Geodesics. IJCNN 2022: 1-8 - [i7]Sanjukta Krishnagopal:
The collective vs individual nature of mountaineering: a network and simplicial approach. CoRR abs/2201.13344 (2022) - 2021
- [c4]Sanjukta Krishnagopal:
Success at High Peaks: A Multiscale Approach Combining Individual and Expedition-Wide Factors. COMPLEX NETWORKS 2021: 669-680 - [i6]Sanjukta Krishnagopal, Ginestra Bianconi:
Spectral Detection of Simplicial Communities via Hodge Laplacians. CoRR abs/2108.06547 (2021) - [i5]Sanjukta Krishnagopal:
Success at high peaks: a multiscale approach combining individual and expedition-wide factors. CoRR abs/2109.13340 (2021) - [i4]Sanjukta Krishnagopal, Keith Lohse, Robynne Braun:
Stroke recovery phenotyping through network trajectory approaches and graph neural networks. CoRR abs/2109.14659 (2021) - 2020
- [b1]Sanjukta Krishnagopal:
Uncovering Patterns in Complex Data with Reservoir Computing and Network Analytics: a dynamical Systems Approach. University of Maryland, College Park, MD, USA, 2020 - [i3]Sanjukta Krishnagopal:
Trajectory Clustering in Multi-layer Networks: Identifying Parkinson's Subtypes. CoRR abs/2005.14472 (2020) - [i2]Sanjukta Krishnagopal, Jacob Bedrossian:
Encoded Prior Sliced Wasserstein AutoEncoder for learning latent manifold representations. CoRR abs/2010.01037 (2020)
2010 – 2019
- 2019
- [c3]Sanjukta Krishnagopal, Garrett E. Katz, Michelle Girvan, James A. Reggia:
Encoding of a Chaotic Attractor in a Reservoir Computer: A Directional Fiber Investigation. IJCNN 2019: 1-8 - [i1]Sanjukta Krishnagopal, Michelle Girvan, Edward Ott, Brian R. Hunt:
Separation of Chaotic Signals by Reservoir Computing. CoRR abs/1910.10080 (2019) - 2018
- [j1]Sanjukta Krishnagopal, Yiannis Aloimonos, Michelle Girvan:
Similarity Learning and Generalization with Limited Data: A Reservoir Computing Approach. Complex. 2018: 6953836:1-6953836:15 (2018) - [c2]Alex Hanson, Koutilya PNVR, Sanjukta Krishnagopal, Larry Davis:
Bidirectional Convolutional LSTM for the Detection of Violence in Videos. ECCV Workshops (2) 2018: 280-295 - 2014
- [c1]Sanjukta Krishnagopal, Sakshi Pratap, Bijil Prakash:
Image Encryption and Steganography Using Chaotic Maps with a Double Key Protection. SocProS (2) 2014: 67-78
Coauthor Index
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