Priyesh Vijayan | DeepAI

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Featured Co-authors

Balaraman Ravindran
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K. Madhava Krishna
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Mitesh M. Khapra
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Srinivasan Parthasarathy
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William L. Hamilton
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Yash Chandak
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Chen Cai
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Anoop Namboodiri
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Pranav Maneriker
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Saket Gurukar
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Nikita Moghe
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∙ 10/05/2021

Semi-Supervised Deep Learning for Multiplex Networks

Multiplex networks are complex graph structures in which a set of entiti...

9 Anasua Mitra, et al. ∙

∙ 07/22/2021

Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks

Graph neural networks (GNNs) have achieved remarkable success as a frame...

19 Dylan Sandfelder, et al. ∙

∙ 05/28/2020

On Incorporating Structural Information to improve Dialogue Response Generation

We consider the task of generating dialogue responses from background kn...

0 Nikita Moghe, et al. ∙

∙ 05/09/2020

Understanding Dynamic Scenes using Graph Convolution Networks

We present a novel Multi Relational Graph Convolutional Network (MRGCN) ...

22 Sravan Mylavarapu, et al. ∙

∙ 02/03/2020

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

Understanding on-road vehicle behaviour from a temporal sequence of sens...

13 Sravan Mylavarapu, et al. ∙

∙ 05/02/2019

Network Representation Learning: Consolidation and Renewed Bearing

Graphs are a natural abstraction for many problems where nodes represent...

18 Saket Gurukar, et al. ∙

∙ 05/31/2018

Fusion Graph Convolutional Networks

Semi-supervised node classification involves learning to classify unlabe...

0 Priyesh Vijayan, et al. ∙

∙ 05/31/2018

HOPF: Higher Order Propagation Framework for Deep Collective Classification

Given a graph wherein every node has certain attributes associated with ...

0 Priyesh Vijayan, et al. ∙

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