Ai Biofabrication › Graph Neural Networks for Cell-Cell Interaction Modeling
Heterogeneous Graph Neural Networks for Multi-Cell Type Interactions
This research investigates how heterogeneous GNNs can model complex interactions between diverse cell types with distinct molecular signatures and biological behaviors. The work produces novel architectural designs that capture differential communication patterns across multiple cell populations, advancing our understanding of tissue-level coordination mechanisms.
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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal
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