AI RESEARCH
Temporal Motif Signatures for Temporal Graph Neural Networks
arXiv CS.LG
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ArXi:2606.01176v1 Announce Type: new Real temporal interaction streams carry predictive structure in short-horizon motif patterns -- repetition, reciprocity, star diversity, triadic flow -- that vanilla temporal graph neural networks (TGNNs) often fail to expose to their edge scorers. We show this concretely on MOOC interaction prediction, where a small four-feature family of past-window star counts already delivers most of the lift over a strong static