---
title: "Who cites GraCoRe: Benchmarking Graph — 8 citing papers"
description: "8 papers of the Elamur Research library cite «GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language…"
canonical: "https://research.elamur.ai/free/en/papers/yuan-2025-gracore-benchmarking-graph-comprehension-complex/cited-by/"
---
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# Who cites «GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models»

8 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models»](https://md.research.elamur.ai/free/en/papers/yuan-2025-gracore-benchmarking-graph-comprehension-complex/)

1. **[A Graph Talks, But Who's Listening? Rethinking Evaluations for Graph-Language Models](https://md.research.elamur.ai/free/en/papers/petkar-2026-graph-talks-but-who-s/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Soham Petkar, Hari Aakash K, Anirudh Vempati, et al.*2026 · 1 citation*
2. **[Agent-based Substructure Counting under Local Differential Privacy](https://md.research.elamur.ai/free/en/papers/zhang-2026-agent-based-substructure-counting-under/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuting Zhang, Kai Wang, Wei Ni, et al.*2026 · 1 citation*
3. **[AlgBench: To What Extent Do Large Reasoning Models Understand Algorithms?](https://md.research.elamur.ai/free/en/papers/sun-2026-algbench-what-extent-do-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Henan Sun, Kaichi Yu, Yuyao Wang, et al.*2026*

5 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/yuan-2025-gracore-benchmarking-graph-comprehension-complex/) — GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models