Dynamic link prediction aims to predict whether two nodes will interact at a future time point in a dynamic graph based on their historical interactions. Existing sampling based methods, which can be considered as a compressor, generally select a subset of one-hop neighbors from the entire interaction sequence for effi...
Zhi-Gang Yu, Hao Yan, Chang-Jun Fan et al.· Proceedings of the Thirty-Fi...· 0 citations
This study proposes a novel GR framework, named TDPM, by designing the time-aware diffusion on SID tokens, which explicitly integrates the impact of time-evolving user preferences into the diffusion process.
This paper proposes the End-to-End Dual Dynamic (ED2) recommender, the first LLM-based sequential RS which adopts dual dynamic index mechanism, targeting resolving the above limitations simultaneously.
Jun Yin, Zhengxin Zeng, Mingzheng Li et al.· The Web Conference· 27 citations
Noise Corruption is introduced, a Noise Corruption-based explanation framework, which perturbs each message through matched-norm random-direction corruption while preserving the expected squared message norm, and NICE, a Noise Corruption-based explanation framework, which learns a Stochastic Restoration Boundary under...
Ziluowen Luo, Jun Yin, Ruo-Chen Liu et al.· 0 citations
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