Papers & research artifacts.

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

P Vijayan, E C Gauthier, M Reymond, S Chandar, D Precup, and I P Schwarz

Fortieth Annual Conference on Neural Information Processing Systems, NeurIPS'26

Revisiting Laplacian Representations for Value Function Approximation in Deep RL

P Vijayan, P Nouri, R Rishav, S Chandar, Y Chandak, M Reymond, S E Kahou, and D Precup

Inductive Biases in Reinforcement Learning Workshop, RLC 2025

Generative Active Learning for the Search of Small-molecule Protein Binders

Maksym Korablyov, Cheng-Hao Liu, Moksh Jain, Almer M. van der Sloot, Eric Jolicoeur, Edward Ruediger, Andrei Cristian Nica, Emmanuel Bengio, Kostiantyn Lapchevskyi, Daniel St-Cyr, Doris Alexandra Schuetz, Victor Ion Butoi, Jarrid Rector-Brooks, Simon Blackburn, Leo Feng, Hadi Nekoei, SaiKrishna Gottipati, Priyesh Vijayan, Prateek Gupta, Ladislav Rampášek, Sasikanth Avancha, Pierre-Luc Bacon, William L. Hamilton, Brooks Paige, Sanchit Misra, Stanislaw Kamil Jastrzebski, Bharat Kaul, Doina Precup, José Miguel Hernández-Lobato, Marwin Segler, Michael Bronstein, Anne Marinier, Mike Tyers, Yoshua Bengio

arXiv preprint, arXiv:2405.01616

Revisiting Link Prediction on Heterogeneous Graphs with a Multi-View Perspective

A Mitra, P Vijayan, R Sanasam, D Goswami, S Parthasarathy, and B Ravindran

IEEE International Conference on Data Mining, ICDM'22

Benchmarking and Analysing Unsupervised Network Representation Learning and the Illusion of Progress

S Gurukar*, P Vijayan*, S Parthasarathy, B Ravindran, A Srinivasan, G Bajaj, C Cai, M Keymanesh, S Kumar, P Maneriker, A Mitra and V Patel

Transactions on Machine Learning Research

* First two authors contributed equally.

Scaling Graph Propagation Kernels for Predictive Learning

P Vijayan, Y Chandak, M Khapra, S Parthasarathy, and B Ravindran

Frontiers in Big Data, section Data Mining and Management (Frontiers 2022)

Semi-Supervised Deep Learning for Multiplex Networks

A Mitra, P Vijayan, R Sanasam, D Goswami, S Parthasarathy, and B Ravindran

ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD'21

EGO-GNNs: Exploiting EGO Structures in Graph Neural Networks

D Sandfelder, P Vijayan and W L Hamilton

International Conference on Acoustics, Speech, and Signal Processing, ICASSP'21

Understanding Dynamic Scenes using Graph Convolution Networks

S Mylavarapu, M Sandhu, P Vijayan, M Krishna, B Ravindran, and A Namboodiri

International Conference on Intelligent Robots and Systems, IROS'20

On Incorporating Structural Information to Improve Dialogue Response Generation

N Moghe, P Vijayan, B Ravindran, and M Khapra

NLP for Conversational AI workshop, ACL'20

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

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

International Conference on Autonomous Agents and Multiagent Systems, AAMAS'20

Nominated for Best Paper Award.

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

A Mitra, P Vijayan, S Parthasarathy, and B Ravindran

SIAM International Conference on Data Mining, SDM'20

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

S Mylavarapu, M Sandhu, P Vijayan, M Krishna, B Ravindran, and A Namboodiri

IEEE Intelligent Vehicles Symposium, IV'20

Fusion Graph Convolutional Networks

P Vijayan, Y Chandak, M Khapra, S Parthasarathy, and B Ravindran

14th workshop on Mining and Learning with Graphs (MLG), KDD'18

User categorization in communications networks

Subramanian Shivashankar, Priyesh Vijayan

US patent application · US20150236910A1 (published 20 August 2015)

Multi-label Collective Classification in Multi-attribute Multi-relational Network Data

P Vijayan, S Subramanian, B Ravindran

IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014), pp. 509–514

Grid 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), pp. 1–6