To Think Like a Vertex (or Not) for Distributed Training of Graph Neural Networks. - Varad Kulkarni; Akarsh Chaturvedi; Pranjal Naman; Yogesh Simmhan (CCGridW, 2023)

Performance Modelling of Graph Neural Networks. - Pranjal Naman; Yogesh Simmhan (CCGridW, 2023)

Optimizing Federated Learning Using Remote Embeddings for Graph Neural Networks. - Pranjal Naman; Yogesh Simmhan (Euro-Par (2), 2024)

Topology-Aware Aggregation for Federated Graph Learning. - Pranjal Naman; Yogesh Simmhan (Euro-Par Workshops (2), 2024)

Performance Trade-offs in GNN Inference: An Early Study on Hardware and Sampling Configurations. - Pranjal Naman; Yogesh Simmhan (HIPCW, 2024)

Ripple: Scalable Incremental GNN Inferencing on Large Streaming Graphs. - Pranjal Naman; Yogesh Simmhan (CoRR, 2025)