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Robert Rallo

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#machine learning Preprint Sep 2026

Scaffold: Support Graph Theory Based Sparsification for Graph Neural Networks

Graph neural networks (GNNs) rely on message passing over graph edges, making their computational and memory costs strongly dependent on graph density. Graph sparsification offers a natural way to reduce these costs, but removing edges indiscriminately can distort important communication structure and degrade predictiv...

Siddhartha Shankar Das, S. Navuluru, S. M. Ferdous et al. · 0 citations
Jul 2026

Networked Intelligence: Active Shared Context Graphs for Human-AI Team Science

This work introduces Mycelium, an active shared workspace that automatically connects researchers and AI agents, and describes networked intelligence as sparse conditional computation over distributed scientific contexts as sparse conditional computation over distributed scientific contexts.

Sutanay Choudhury, Jeffrey J. Czajka, L. Monteiro et al. · 0 citations

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