Author

Chahana Dahal

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#machine learning Preprint Sep 2026

FoundAna: A GNN-assisted Foundation Model for Graph Anomaly Detection

Graph anomaly detection aims to identify graph structures (e.g., nodes, edges, or subgraphs) that deviate significantly from expected patterns, which supports critical applications in fraud detection, spam identification, network intrusion, etc. Despite the growing methods in the field, existing approaches follow a one...

Suprim Nakarmi, Chahana Dahal, Yue Zhao et al. · 0 citations

#machine learning Feb 2026

GONE: Structural Knowledge Unlearning via Neighborhood-Expanded Distribution Shaping

Graph Oblivion and Node Erasure (GONE), a benchmark for evaluating knowledge unlearning over structured knowledge graph (KG) facts in LLMs, enables the disentanglement of three effects of unlearning: direct fact removal, reasoning-based leakage, and catastrophic forgetting.

Chahana Dahal, A. Balasubramaniam, Zuo-Bin Xiong · arXiv.org · 1 citation