Harsh Pandey

Researcher, Fujitsu Research and Development Center Co. Ltm.

1 paper at NeurIPS 2025

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Poster Session 6

1 paper

Friday, December 5, 2025 · 4:30 PM → 7:30 PM

Exhibit Hall C,D,E

GnnXemplar: Exemplars to Explanations - Natural Language Rules for Global GNN Interpretability

#3801 · Burouj Armgaan, Eshan Jain, Harsh Pandey, Mahesh Chandran, Sayan Ranu

We generate global text-based explanations using representative nodes (exemplars) in the embedding space. The exemplars are selected via coverage maximization, and their signatures are explained using natural language rules from a self-refining LLM.