Embedding a trainable graph message-passing network within the LoRA bottleneck of an LLM improves recommendation accuracy over prior collaborative-alignment methods at minimal parameter cost.
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GraphLoRA: Structure-Aware Low-Rank Adaptation for Large Language Model Recommendation
Embedding a trainable graph message-passing network within the LoRA bottleneck of an LLM improves recommendation accuracy over prior collaborative-alignment methods at minimal parameter cost.