Sotabase

Career

· Ph.D. Candidate, McGill University & Mila - Quebec AI Institute2019–
· Project Officer / Project Associate, Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI)2017–2019
· MS by Research (Thesis), Indian Institute of Technology Madras2015–2019
· Project Associate, RISE Lab, IIT Madras2014–2017
· Research Intern, Ericsson Research2013–2014
· Intern, PayPal2011–
· BE in CSE, Anna University Chennai2009–2013

Publications (37)

Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling
Adaptive Agents and Multi-Agent Systems · 2019
44
cited
Understanding Dynamic Scenes using Graph Convolution Networks
IEEE/RJS International Conference on Intelligent RObots and Systems · 2020
32
cited
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2021
28
cited
Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks
2020 IEEE Intelligent Vehicles Symposium (IV) · 2020
27
cited
Network Representation Learning: Consolidation and Renewed Bearing
arXiv.org · 2019
24
cited
Semi-Supervised Deep Learning for Multiplex Networks
Knowledge Discovery and Data Mining · 2021
24
cited
Revisiting Link Prediction on Heterogeneous Graphs with a Multi-view Perspective
Industrial Conference on Data Mining · 2022
10
cited
Grid Scheduling using Improved Particle Swarm Optimization with Digital Pheromones
2012
9
cited
Multi-label collective classification in multi-attribute multi-relational network data
International Conference on Advances in Social Networks Analysis and Mining · 2014
9
cited
Generative Active Learning for the Search of Small-molecule Protein Binders
arXiv.org · 2024
8
cited
A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs
SDM · 2020
6
cited
On Incorporating Structural Information to improve Dialogue Response Generation
NLP4CONVAI · 2020
6
cited
Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress
Trans. Mach. Learn. Res. · 2022
3
cited
HOPF: Higher Order Propagation Framework for Deep Collective Classification
arXiv.org · 2018
3
cited
Fusion Graph Convolutional Networks
arXiv.org · 2018
2
cited
Learning policies for Social network discovery with Reinforcement learning
arXiv.org · 2019
1
cited
Behaviour Detection of Vehicles Using Graph Convolutional Networks with Attention
2021
Network discovery using Reinforcement Learning
2019
Revisiting Laplacian Representations for Value Function Approximation in Deep RL
Scaling Graph Propagation Kernels for Predictive Learning
Frontiers in Big Data · 2022
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Priyesh Vijayan | Researcher Profile | Sotabase | Sotabase