Learnable Data Augmentation and Contrastive Pre-training for Temporal Link Prediction
Canghong Jin, Jiafeng Zhao, Feng Xu et al.
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Preprint
Aug 2026
Making Collaborative Signals Count: Graph-Aware Large Language Models for Sequential Recommendation
GALLM constructs a collaborative graph over text tokens and item tokens, and models three types of relations that are transformed into lightweight learnable attention biases and incorporated into the LLM attention mechanism, enabling collaborative-aware token interactions without introducing an additional graph encoder.
Fenglin Yan, Bohao Wang, Jian Zhang et al.
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