5 papers
GRAFT: Biological Graph and Hypergraph Benchmarks for Linked Gene Expression and Phenotypic Trait Prediction in Arabidopsis thaliana
Manuel Serna-Aguilera, Vanshika Jindal, Fiona L. Goggin +5
Understanding which genes control which traits in an organism remains one of the central challenges in biology. Despite significant advances in data collection technology, our abil…
NICO-RAG: Multimodal Hypergraph Retrieval-Augmented Generation for Understanding the Nicotine Public Health Crisis
Manuel Serna-Aguilera, Raegan Anderes, Page Dobbs +1
The nicotine addiction public health crisis continues to be pervasive. In this century alone, the tobacco industry has released and marketed new products in an aggressive effort to…
A Novel Dataset for Video-Based Neurodivergent Classification Leveraging Extra-Stimulatory Behavior
Manuel Serna-Aguilera, Xuan Bac Nguyen, Han-Seok Seo +1
Facial expressions and actions differ among different individuals at varying degrees of intensity given responses to external stimuli, particularly among those that are neurodiverg…
AGP: A Novel Arabidopsis thaliana Genomics-Phenomics Dataset and its HyperGraph Baseline Benchmarking
Manuel Serna-Aguilera, Fiona L. Goggin, Aranyak Goswami +3
Understanding which genes control which traits in an organism remains one of the central challenges in biology. Despite significant advances in data collection technology, our abil…
COBRA: A Continual Learning Approach to Vision-Brain Understanding
Xuan-Bac Nguyen, Manuel Serna-Aguilera, Arabinda Kumar Choudhary +3
Vision-Brain Understanding (VBU) aims to extract visual information perceived by humans from brain activity recorded through functional Magnetic Resonance Imaging (fMRI). Despite n…