Mahesh Chandran

According to our database, Mahesh Chandran authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

PLGC: Pseudo-Labeled Graph Condensation.

Jay Nandy, Arnab Kumar Mondal, Anuj Rathore, Mahesh Chandran

CoRR, January, 2026

Proper Orthogonal Decomposition for Scalable Training of Graph Neural Networks.

Abhishek A, Manohar Kaul, Mohit Meena, Mahesh Chandran

Trans. Mach. Learn. Res., 2026

Self-Adaptive Graph Mixture of Models.

Mohit Meena, Yash Punjabi, Abhishek A, Vishal Sharma, Mahesh Chandran

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

GnnXemplar: Exemplars to Explanations - Natural Language Rules for Global GNN Interpretability.

Burouj Armgaan, Eshan Jain, Harsh Pandey, Mahesh Chandran, Sayan Ranu

CoRR, September, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Can LLMs Help You at Work? A Sandbox for Evaluating LLM Agents in Enterprise Environments.

Harsh Vishwakarma, Ankush Agarwal, Ojas Patil, Chaitanya Devaguptapu, Mahesh Chandran

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Gait Recognition via Pristine Feature Learning.

Anuj Rathore, Daksh Thapar, Mahesh Chandran

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2025

2024

Stochastic Experience-Replay for Graph Continual Learning.

Arnab Kumar Mondal, Jay Nandy, Manohar Kaul, Mahesh Chandran

Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024