3 papers
cs.LG2026
FoundAna: A GNN-assisted Foundation Model for Graph Anomaly Detection
Suprim Nakarmi, Chahana Dahal, Yue Zhao +2
Graph anomaly detection aims to identify graph structures (e.g., nodes, edges, or subgraphs) that deviate significantly from expected patterns, which supports critical applications…
cs.LG2026
Fed-Listing: Federated Label Distribution Inference in Graph Neural Networks
Suprim Nakarmi, Junggab Son, Yue Zhao +1
Federated Graph Neural Networks (FedGNNs) facilitate collaborative learning across multiple clients with graph-structured data while preserving user privacy. However, emerging rese…
eess.IV2023
Deep-learning Assisted Detection and Quantification of (oo)cysts of Giardia and Cryptosporidium on Smartphone Microscopy Images
Suprim Nakarmi, Sanam Pudasaini, Safal Thapaliya +5
The consumption of microbial-contaminated food and water is responsible for the deaths of millions of people annually. Smartphone-based microscopy systems are portable, low-cost, a…