Pranjal Naman

According to our database, Pranjal Naman authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

OptimES: Optimizing Federated Learning Using Remote Embeddings for Graph Neural Networks.

Pranjal Naman, Yogesh Simmhan

CoRR, September, 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

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