Author

Yogesh L. Simmhan

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Preprint Jul 2026

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs

Taurus is presented, a single-machine system for GNN inference on graphs that do not fit in RAM, supporting both full-graph inference and fanout-sampled inference, and outperforms the strongest layer-wise baseline, DGI.

Pranjal Naman, Yogesh L. Simmhan · 0 citations

Open access May 2026

A Resource-Centric Analysis and Optimization of NoSQL Workloads using Distressed Resource Volume Metric

This work proposes and develops an open-source policy simulation framework, LoadStar, which forms a reusable benchmark pipeline for validating policies for resource-centric NoSQL workloads, and defines a resource optimization problem for placing Cosmos DB replicas onto VM nodes, and develops the Luna model for forecasting future load distributions.

Gunika Verma, Aashutosh A, Pooja Srinivas et al. · Proceedings of the VLDB Endo... · 0 citations