GS-Quant: Granular Semantic and Generative Structural Quantization for Knowledge Graph Completion
arXiv:2604.21649v1 Announce Type: new
Abstract: Large Language Models (LLMs) have shown immense potential in Knowledge Graph Completion (KGC), yet bridging the modality gap between continuous graph embeddings and discrete LLM tokens remains a critical…