Priyesh Vijayan

According to our database, Priyesh Vijayan authored at least 15 papers between 2014 and 2022.

Collaborative distances:

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

2022

Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress.

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

Trans. Mach. Learn. Res., 2022

Scaling Graph Propagation Kernels for Predictive Learning.

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

Frontiers Big Data, 2022

Revisiting Link Prediction on Heterogeneous Graphs with a Multi-view Perspective.

Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Semi-Supervised Deep Learning for Multiplex Networks.

Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks.

Dylan Sandfelder, Priyesh Vijayan, William L. Hamilton

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

On Incorporating Structural Information to improve Dialogue Response Generation.

Nikita Moghe, Priyesh Vijayan, Balaraman Ravindran, Mitesh M. Khapra

CoRR, 2020

A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs.

Anasua Mitra, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

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

Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop M. Namboodiri

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Understanding Dynamic Scenes using Graph Convolution Networks.

Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop M. Namboodiri

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling.

Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Learning policies for Social network discovery with Reinforcement learning.

Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe

CoRR, 2019

Network Representation Learning: Consolidation and Renewed Bearing.

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

CoRR, 2019

2018

Fusion Graph Convolutional Networks.

Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Balaraman Ravindran

CoRR, 2018

HOPF: Higher Order Propagation Framework for Deep Collective Classification.

Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Balaraman Ravindran

CoRR, 2018

2014

Multi-label collective classification in multi-attribute multi-relational network data.

Priyesh Vijayan, Shivashankar Subramanian, Balaraman Ravindran

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014