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2020 – today
- 2026
[j1]Abhishek A, Manohar Kaul, Mohit Meena, Mahesh Chandran:
Proper Orthogonal Decomposition for Scalable Training of Graph Neural Networks. Trans. Mach. Learn. Res. 2026 (2026)- 2025
- [c4]Anuj Rathore
, Daksh Thapar, Mahesh Chandran:
Gait Recognition via Pristine Feature Learning. ACIVS 2025: 71-82 - [c3]Harsh Vishwakarma, Ankush Agarwal, Ojas Patil, Chaitanya Devaguptapu, Mahesh Chandran:
Can LLMs Help You at Work? A Sandbox for Evaluating LLM Agents in Enterprise Environments. EMNLP 2025: 9167-9201 - [c2]Arkadipta De, Vartika Sengar, Daksh Thapar, Mahesh Chandran, Manohar Kaul:
Elemental Composite Prototypical Network: Few-Shot Object Detection on Outdoor 3D Point Cloud Scenes. WACV 2025: 3216-3226 - [i3]Burouj Armgaan, Eshan Jain, Harsh Pandey, Mahesh Chandran, Sayan Ranu:
GnnXemplar: Exemplars to Explanations - Natural Language Rules for Global GNN Interpretability. CoRR abs/2509.18376 (2025) - [i2]Harsh Vishwakarma, Ankush Agarwal, Ojas Patil, Chaitanya Devaguptapu, Mahesh Chandran:
Can LLMs Help You at Work? A Sandbox for Evaluating LLM Agents in Enterprise Environments. CoRR abs/2510.27287 (2025) - [i1]Mohit Meena, Yash Punjabi, Abhishek A, Vishal Sharma, Mahesh Chandran:
Self-Adaptive Graph Mixture of Models. CoRR abs/2511.13062 (2025) - 2024
- [c1]Arnab Kumar Mondal, Jay Nandy, Manohar Kaul, Mahesh Chandran:
Stochastic Experience-Replay for Graph Continual Learning. LoG 2024: 32
Coauthor Index
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