Pranjal Naman

According to our database, Pranjal Naman authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

ATLAS: Efficient Out-of-Core Inference for Billion-Scale Graph Neural Networks.

Pranjal Naman, Yogesh Simmhan

CoRR, May, 2026

Scaling Real-Time Traffic Analytics on Edge-Cloud Fabrics for City-Scale Camera Networks.

Akash Sharma, Pranjal Naman, Roopkatha Banerjee, Priyanshu Pansari, Sankalp Gawali, Mayank Arya, Sharath Chandra, Arun Josephraj, Rakshit Ramesh, Punit Rathore, Anirban Chakraborty, Raghu Krishnapuram, Vijay Kovvali, Yogesh Simmhan

CoRR, March, 2026

RIPPLE++: An Incremental Framework for Efficient GNN Inference on Evolving Graphs.

Pranjal Naman, Parv Agarwal, Hrishikesh Haritas, Yogesh Simmhan

CoRR, January, 2026

OptimES: Optimizing federated learning using remote embeddings for graph neural networks.

Pranjal Naman, Yogesh Simmhan

J. Parallel Distributed Comput., 2026

2025

Ripple: Scalable Incremental GNN Inferencing on Large Streaming Graphs.

Pranjal Naman, Yogesh Simmhan

Proceedings of the 45th IEEE International Conference on Distributed Computing Systems, 2025

A GPU is All You Need: Rethinking Distributed and Out-of-Core GNN Training.

Pranjal Naman, Yogesh Simmhan

Proceedings of the 32nd IEEE International Conference on High Performance Computing, Data and Analytics, HiPC 2025, 2025

Towards Scalable Mining of Temporal Graph Motifs over Large-Scale Transaction Networks.

Hrishikesh Haritas, Abhinav Rawat, Pranjal Naman, Ganesh Jambhrunkar, Amit Khandelwal, Saurav Singla, Yogesh Simmhan

Proceedings of the 32nd IEEE International Conference on High Performance Computing, Data and Analytics, HiPC 2025, 2025

2024

Performance Trade-offs in GNN Inference: An Early Study on Hardware and Sampling Configurations.

Pranjal Naman, Yogesh Simmhan

Proceedings of the 31st IEEE International Conference on High Performance Computing, Data and Analytics, HiPC 2024, 2024

Topology-Aware Aggregation for Federated Graph Learning.

Pranjal Naman, Yogesh Simmhan

Proceedings of the Euro-Par 2024: Parallel Processing Workshops, 2024

Optimizing Federated Learning Using Remote Embeddings for Graph Neural Networks.

Pranjal Naman, Yogesh Simmhan

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

2023

Performance Modelling of Graph Neural Networks.

Pranjal Naman, Yogesh Simmhan

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

To Think Like a Vertex (or Not) for Distributed Training of Graph Neural Networks.

Varad Kulkarni, Akarsh Chaturvedi, Pranjal Naman, Yogesh Simmhan

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023