Jake Nelson

Researcher

Last publication 2026 Last refreshed 2026-05-02

grad_student

2 pubs

Biography and Research Information

OverviewAI-generated summary

Jake Nelson's research focuses on the application of recurrent state-space models to understand complex network dynamics, particularly in the context of heterophilic graphs. His work investigates how to enhance the robustness of these models for tasks such as social bot detection. Nelson has published two recent works in 2026 that explore these themes, including "Beyond Smoothing: A Recurrent State-Space Perspective on Heterophilic Graph Dynamics" and "Navigating the Heterophily Spectrum: Topology-Enhanced Gating for Robust Social Bot Detection."

Metrics

  • Publications: 2

Selected Publications

  • Beyond Smoothing: A Recurrent State-Space Perspective on Heterophilic Graph Dynamics (2026)
  • Navigating the Heterophily Spectrum: Topology-Enhanced Gating for Robust Social Bot Detection (2026)

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