Priyesh Vijayan

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

Balaraman Ravindran, Srinivasan Parthasarathy, Anasua Mitra, 2020, SDM.

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

Milind Tambe, Balaraman Ravindran, Bryan Wilder, 2020, AAMAS.

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

Balaraman Ravindran, Shivashankar Subramanian, Priyesh Vijayan, 2014, 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014).

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

Balaraman Ravindran, Anoop Namboodiri, K Madhava Krishna, 2020, 2020 IEEE Intelligent Vehicles Symposium (IV).

HOPF: Higher Order Propagation Framework for Deep Collective Classification pdf

Balaraman Ravindran, Mitesh M. Khapra, Priyesh Vijayan, 2018, ArXiv.

Network Representation Learning: Consolidation and Renewed Bearing pdf

Srinivasan Parthasarathy, Moniba Keymanesh, Balaraman Ravindran, 2019, ArXiv.

On Incorporating Structural Information to improve Dialogue Response Generation pdf

Balaraman Ravindran, Mitesh M. Khapra, Nikita Moghe, 2020, NLP4CONVAI.

Understanding Dynamic Scenes using Graph Convolution Networks pdf

Balaraman Ravindran, Anoop Namboodiri, K Madhava Krishna, 2020, ArXiv.

Fusion Graph Convolutional Networks pdf

Balaraman Ravindran, Mitesh M. Khapra, Priyesh Vijayan, 2018, ArXiv.

Semi-Supervised Deep Learning for Multiplex Networks

Srinivasan Parthasarathy, Balaraman Ravindran, Diganta Goswami, 2021, KDD.

Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks

Priyesh Vijayan, Dylan Sandfelder, William L. Hamilton, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).