MBRep: Motif-based representation learning in heterogeneous networks

•Considering networks’ heterogeneity in embedding methods is effective.•Triangle motifs preserve network heterogeneity and link directionality.•Atomic-level motif embedding overcomes manual intervention.•Higher-order heterogeneous connectivity patterns cope cold-start well.