2 papers
cs.AI2026
GS-Quant: Granular Semantic and Generative Structural Quantization for Knowledge Graph Completion
Qizhuo Xie, Yunhui Liu, Yu Xing +4
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 to…
cs.LG2026
Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach
Yunhui Liu, Qizhuo Xie, Yinfeng Chen +4
Graph anomaly detection (GAD) aims to identify nodes that deviate from normal patterns in structure or features. While recent GNN-based approaches have advanced this task, they str…