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recovers exact temporal walk counts, while the state dynamics in (4) with learnable(a t, bt)introduce adaptive temporal weighting that balances recent versus historical information · 1980 · arXiv records/7213796

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Forget Less, Generalize More: Unifying Temporal and Structural Adaptation for Dynamic Graphs

cs.LG · 2026-05-28 · unverdicted · novelty 6.0

DSRD unifies temporal and structural adaptation for dynamic graphs via a single recurrent retentive state with learnable time-sensitivity parameters in the decay kernels.

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Forget Less, Generalize More: Unifying Temporal and Structural Adaptation for Dynamic Graphs cs.LG · 2026-05-28 · unverdicted · none · ref 18
DSRD unifies temporal and structural adaptation for dynamic graphs via a single recurrent retentive state with learnable time-sensitivity parameters in the decay kernels.

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