Chandran, Mahesh

5 publications

TMLR 2026 Proper Orthogonal Decomposition for Scalable Training of Graph Neural Networks Abhishek A, Manohar Kaul, Mohit Meena, Mahesh Chandran
WACV 2025 Elemental Composite Prototypical Network: Few-Shot Object Detection on Outdoor 3D Point Cloud Scenes Arkadipta De, Vartika Sengar, Daksh Thapar, Mahesh Chandran, Manohar Kaul
NeurIPS 2025 GnnXemplar: Exemplars to Explanations - Natural Language Rules for Global GNN Interpretability Burouj Armgaan, Eshan Jain, Harsh Pandey, Mahesh Chandran, Sayan Ranu
NeurIPS 2025 Interpretable and Parameter Efficient Graph Neural Additive Models with Random Fourier Features Thummaluru Siddartha Reddy, Vempalli Naga Sai Saketh, Mahesh Chandran
LoG 2025 Stochastic Experience-Replay for Graph Continual Learning Arnab Kumar Mondal, Jay Nandy, Manohar Kaul, Mahesh Chandran