arXiv Machine Learning June 2, 2026 By Dylan Sandfelder, Mihai Cucuringu, Xiaowen Dong

Temporal Motif Signatures for Temporal Graph Neural Networks

Read the original on arXiv Machine Learning →

arXiv:2606. 01176v1 Announce Type: new Abstract: 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.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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