PIGR (Post-hoc Iterative Graph Refinement), a trace-driven framework that explicitly aligns efficiency with observed search behavior, is introduced, which delivers 1.3x-2.5x speedups at near-exact recall across diverse datasets and index families, consistently outperforming the best build-time tuned baselines.
Zhiwei Zhang, Weiguo Zheng· Proceedings of the 32nd ACM...· 0 citations
This paper introduces a novel task, graph textual summarization, which aims to generate natural language descriptions that capture both the semantic content and structural characteristics of graph data based on large language models (LLMs). Unlike traditional summarization tasks for text, images, or videos, summarizing...
Xiaoxuan Gou, Weiguo Zheng, Han-Qing Guo et al.· Proceedings of the 32nd ACM...· 0 citations
Graph-based approximate nearest neighbor search (ANNS) is widely used in vector databases and retrieval systems. Most existing methods typically rely on structure-driven index construction and tuning, building graph topologies that approximate idealized geometric archetypes to promote navigability. However, geometric p...
Zhiwei Zhang, Weiguo Zheng· Proceedings of the 32nd ACM...· 0 citations
This paper develops a comprehensive benchmark construction framework and constructs three diverse benchmark datasets and proposes a unified evaluation framework that assesses both linguistic quality and factual consistency, providing a comprehensive approach to evaluating generated summaries for content fidelity and ac...
Xiaoxuan Gou, Weiguo Zheng, Hanqing Guo et al.· Proceedings of the 32nd ACM...· 0 citations
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