A GNN-based search could give the HL-LHC an exclusion reach near 2.4 TeV for vectorlike B quarks decaying fully hadronically through b plus a singlet scalar, with performance comparable to semileptonic searches.
This idea is commonly used in Transformers in language-related tasks [54]
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Tagging fully hadronic exotic decays of the vectorlike $\mathbf{B}$ quark using a graph neural network
A GNN-based search could give the HL-LHC an exclusion reach near 2.4 TeV for vectorlike B quarks decaying fully hadronically through b plus a singlet scalar, with performance comparable to semileptonic searches.