Where Does Neural Advantage Arise in Continuous-Time Dynamic Graph Prediction?

T1Covered by 1 source · first reported by arXiv at 24 Sept, 04:00 UTC

arXiv:2608.06765v3 Announce Type: replace Abstract: Aggregate performance on continuous-time dynamic graphs (CTDGs) combines, in a single score, the portion attributable to known temporal regularities and the additional predictive power of neural models. This study separates the two at the query…

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• T1Where Does Neural Advantage Arise in Continuous-Time Dynamic Graph Prediction?arXiv24 Sept, 04:00