Influence maximization in unknown social networks: Learning policies for effective graph sampling

H Kamarthi, P Vijayan, B Wilder, B Ravindran, M Tambe

International Conference on Autonomous Agents and MultiAgent Systems, 575–583, 2020

712020Ego-gnns: Exploiting ego structures in graph neural networks

D Sandfelder, P Vijayan, WL Hamilton

ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and�…, 2021

462021Understanding dynamic scenes using graph convolution networks

S Mylavarapu, M Sandhu, P Vijayan, KM Krishna, B Ravindran, ...

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems�…, 2020

412020Towards accurate vehicle behaviour classification with multi-relational graph convolutional networks

S Mylavarapu, M Sandhu, P Vijayan, KM Krishna, B Ravindran, ...

2020 IEEE intelligent vehicles symposium (IV), 321-327, 2020

382020Semi-supervised deep learning for multiplex networks

A Mitra, P Vijayan, R Sanasam, D Goswami, S Parthasarathy, ...

Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data�…, 2021

342021Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress

S Gurukar, P Vijayan, B Ravindran, A Srinivasan, G Bajaj, C Cai, ...

Transactions on Machine Learning Research, 2022

31*2022Generative active learning for the search of small-molecule protein binders

M Korablyov, CH Liu, M Jain, AM van der Sloot, E Jolicoeur, E Ruediger, ...

arXiv preprint arXiv:2405.01616, 2024

172024Revisiting link prediction on heterogeneous graphs with a multi-view perspective

A Mitra, P Vijayan, SR Singh, D Goswami, S Parthasarathy, B Ravindran

2022 IEEE International Conference on Data Mining (ICDM), 358-367, 2022

152022Grid Scheduling using Improved Particle Swarm Optimization with Digital Pheromones

S Chandar, P Vijayan, D Doreen Hephzibah Miriam

International Journal of Scientific & Engineering Research 3 (6), 1-6, 2012

122012Fusion graph convolutional networks

P Vijayan, Y Chandak, MM Khapra, S Parthasarathy, B Ravindran

arXiv preprint arXiv:1805.12528, 2018

112018Multi-label collective classification in multi-attribute multi-relational network data

P Vijayan, S Subramanian, B Ravindran

2014 IEEE/ACM International Conference on Advances in Social Networks�…, 2014

102014On incorporating structural information to improve dialogue response generation

N Moghe, P Vijayan, B Ravindran, MM Khapra

Proceedings of the 2nd Workshop on Natural Language Processing for�…, 2020

82020A unified non-negative matrix factorization framework for semi supervised learning on graphs

A Mitra, P Vijayan, S Parthasarathy, B Ravindran

Proceedings of the 2020 SIAM International Conference on Data Mining, 487-495, 2020

82020Scaling Graph Propagation Kernels for Predictive Learning

P Vijayan, Y Chandak, MM Khapra, S Parthasarathy, B Ravindran

Frontiers in Big Data 5, 2022

7*2022User categorization in communications networks

S Shivashankar, P Vijayan

US Patent App. 14/182,337, 2015

22015Revisiting Laplacian Representations for Value Function Approximation in Deep RL

P Vijayan, P Nouri, R Rishav, S Chandar, Y Chandak, M Reymond, ...

Inductive Biases in Reinforcement Learning Workshop@ RLC 2025, 2025

12025Addressing Sparse-Rewards in RL with Scalable Hierarchical Novel Eigen Options

P Vijayan, � C�t�-Gauthier, M Reymond, S Chandar, D Precup, ...

Reinforcement Learning Beyond Rewards Workshop@ RLC 2026, 2026

2026Incremental Knowledge Graphs

P Vijayan