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Semi-Supervised Deep Learning for Multiplex Networks


Oct 05, 2021
Anasua Mitra, Priyesh Vijayan, Ranbir Sanasam, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran


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Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks


Jul 22, 2021
Dylan Sandfelder, Priyesh Vijayan, William L. Hamilton

* ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, pp. 8523-8527 
* Submitted to a special session of IEEE-ICASSP 2021 

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On Incorporating Structural Information to improve Dialogue Response Generation


May 28, 2020
Nikita Moghe, Priyesh Vijayan, Balaraman Ravindran, Mitesh M. Khapra


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Understanding Dynamic Scenes using Graph Convolution Networks


May 15, 2020
Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K Madhava Krishna, Balaraman Ravindran, Anoop Namboodiri

* Under Review 

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Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks


Feb 03, 2020
Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K Madhava Krishna, Balaraman Ravindran, Anoop Namboodiri


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Learning policies for Social network discovery with Reinforcement learning


Jul 08, 2019
Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe


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Network Representation Learning: Consolidation and Renewed Bearing


May 02, 2019
Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel, Balaraman Ravindran, Srinivasan Parthasarathy


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HOPF: Higher Order Propagation Framework for Deep Collective Classification


Sep 21, 2018
Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Srinivasan Parthasarathy, Balaraman Ravindran


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Fusion Graph Convolutional Networks


Sep 21, 2018
Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Srinivasan Parthasarathy, Balaraman Ravindran


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