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Sen-Zhang Wang

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Conference Open access Sep 2026

From Compression to Construction: Pseudo Neighbor Augmentation Sampling for Dynamic Link Prediction

A novel context construction based approach named PeNS is proposed that adopts Pseudo Neighbor Augmentation Sampling Strategy for more accurate dynamic link prediction and tries to augment neighbor sequences with three complementary types of pseudo neighbors, injecting structural and temporal cues to provide rich conte...

Zhi-Gang Yu, Hao Yan, Chang-Jun Fan et al. · 0 citations
#artificial intelligence Book Open access Sep 2024

Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism

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. · 27 citations
#artificial intelligence Preprint Aug 2026

NICE: Scale-Stable Perturbations for Graph Neural Network Explanations via Noise Corruption

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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