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Large Language Models (LLMs) have demonstrated strong reasoning abilities, making them suitable for complex tasks such as graph computation.
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A survey of graph meets large language model: Progress and future directions
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Evaluating large language models on graphs: Performance insights and comparative analysis
Chang Liu and Bo Wu. 2023 · 2023
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A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment. In Findings of the Association for Computational Linguistics: ACL 2023 , Anna Rogers, Jordan Boyd-Graber, and Naoaki Okazaki (Eds.). Association for Computational Linguistics, Toronto, Canada, 3320–3334
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How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension
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MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning
Debrup Das, Debopriyo Banerjee, Somak Aditya, and Ashish Kulkarni. 2024 · 2024
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Llm-arc: Enhancing llms with an automated reasoning critic
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Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models
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Cited alongside, same era.
Can Language Models Solve Graph Problems in Natural Language?. In Thirty-seventh Conference on Neural Information Processing Systems
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Decomposition enhances reasoning via self-evaluation guided decoding
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Evaluating spatial understanding of large language models
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LLM4DyG: Can Large Language Models Solve Problems on Dynamic Graphs?
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GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability
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Local Centrality Minimization with Quality Guarantees. In Proceedings of the ACM on Web Conference 2024 . 410–421
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A Similarity-based Approach for Efficient Large Quasi-clique Detection. In Proceedings of the ACM on Web Conference 2024 . 401–409
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GraphArena: Benchmarking Large Language Models on Graph Computational Problems
Jianheng Tang, Qifan Zhang, Yuhan Li, and Jia Li. 2024b · 2024
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Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, and Julian McAuley. 2024 · 2024
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Grapheval2000: Benchmarking and improving large language models on graph datasets
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Opengraph: Towards open graph foundation models
Lianghao Xia, Ben Kao, and Chao Huang. 2024 · 2024
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GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models
Zike Yuan, Ming Liu, Hui Wang, and Bing Qin. 2024 · 2024
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Can LLM Graph Reasoning Generalize beyond Pattern Memorization?
Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, and Yulia Tsvetkov. 2024 · 2024
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Yaowei Zheng, Richong Zhang, Junhao Zhang, Yanhan Ye, Zheyan Luo, Zhangchi Feng, and Yongqiang Ma. 2024 · 2024
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