Temporal Knowledge Graph (TKG) extrapolation aims to predict future facts from observed historical events. Existing methods usually achieve this goal by jointly modeling local historical evolution and long-range historical contexts. First, local evolution modeling often summarizes local history into an overall evolving...
Pei-Yuan Jiang, Yao Liu, Yu-Bo Wen et al.· 0 citations
This work introduces ScoreRec, a novel sequential recommendation framework that reformulates the recommendation task as a continuous-time score-based generative process that leverages a stochastic differential equation with a continuous-time noise schedule to mitigate the mode-seeking bias.
Peng He, Yao Liu, Tong Luo et al.· ACM Transactions on Informat...· 0 citations
DiffuSent is presented, a non-auto-regressive diffusion framework that systematically formulates all ABSA subtasks as boundary denoising diffusion processes, progressively refining boundaries over noisy states, and introduces a contrastive denoising training strategy which effectively address duplicate predictions with...
S. Long, Yanglei Gan, Xuchuan Zhou· arXiv.org· 0 citations
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