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Graphs are widely used for modeling relational data in real-world scenarios, such as social networks and urban computing.
How to solve it
Abigail Robson and George Pólya · 1945
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Information problem solving: The big six skills approach to library & information skills instruction
Michael B. Eisenberg and Robert E. Berkowitz · 1990
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Rodger W Bybee, Joseph A Taylor, April Gardner, Pamela Van Scotter, J Carlson Powell, Anne Westbrook, and Nancy Landes · 2006
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Aric A. Hagberg, Daniel A. Schult, Pieter Swart, and JM Hagberg · 2008
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
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AutoGL: A library for automated graph learning
Chaoyu Guan, Ziwei Zhang, Haoyang Li, Heng Chang, Zeyang Zhang, Yijian Qin, Jiyan Jiang, Xin Wang, and Wenwu Zhu · 2021
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LlamaIndex, 11 2022
Jerry Liu · 2022
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Chain of thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, brian ichter, Fei Xia, Ed H. Chi, Quoc V Le, and Denny Zhou · 2022
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Ziwei Chai, Tianjie Zhang, Liang Wu, Kaiqiao Han, Xiaohai Hu, Xuanwen Huang, and Yang Yang · 2023
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Jiayan Guo, Lun Du, Hengyu Liu, Mengyu Zhou, Xinyi He, and Shi Han · 2023
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Can LLMs effectively leverage graph structural information: When and why
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Can large language models analyze graphs like professionals? a benchmark, datasets and models
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