DevoTG uses TGNs on dynamic graphs of C. elegans cell lineages and connectomes to predict connections and classify stability, outperforming static GNNs by 26 AUC points on lineage tasks.
arXiv preprint arXiv:2311.17067 , year=
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DevoTG: Temporal Graph Neural Networks for Modeling C. elegans Developmental Connectomics
DevoTG uses TGNs on dynamic graphs of C. elegans cell lineages and connectomes to predict connections and classify stability, outperforming static GNNs by 26 AUC points on lineage tasks.