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cs.LG2026
PhenoNEST: A Neuro-Symbolic Framework for Ontology-Aware Multimodal Plant Phenotyping and Trait Discovery
Jayant Ghadge, Soumyashree Kar, Surya S. Durbha
High-throughput plant phenotyping generates valuable data that often remains trapped in unstructured text and isolated RGB images. To bridge this semantic gap, we propose a framewo…
cs.LG2026
SEAGAN: domain-Specific and Edge-Aware Graph Attention Network for Dynamic Plant Processes
Antriksh Srivastava, Soumyashree Kar
Graph neural networks (GNNs) offer a flexible framework for learning from scientific data with physical, biological, or functional associations. One promising domain is plant physi…