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Haitao Mao

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Graph Machine Learning in the Era of Large Language Models (LLMs)

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Apr 23, 2024
Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li

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Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark

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Mar 09, 2024
Xiaowei Qian, Zhimeng Guo, Jialiang Li, Haitao Mao, Bingheng Li, Suhang Wang, Yao Ma

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Universal Link Predictor By In-Context Learning on Graphs

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Feb 15, 2024
Kaiwen Dong, Haitao Mao, Zhichun Guo, Nitesh V. Chawla

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Graph Foundation Models

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Feb 06, 2024
Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang

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A Data Generation Perspective to the Mechanism of In-Context Learning

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Feb 03, 2024
Haitao Mao, Guangliang Liu, Yao Ma, Rongrong Wang, Jiliang Tang

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Neural Scaling Laws on Graphs

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Feb 03, 2024
Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang

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Adaptive Pairwise Encodings for Link Prediction

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Oct 18, 2023
Harry Shomer, Yao Ma, Haitao Mao, Juanhui Li, Bo Wu, Jiliang Tang

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Label-free Node Classification on Graphs with Large Language Models (LLMS)

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Oct 12, 2023
Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang

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Revisiting Link Prediction: A Data Perspective

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Oct 01, 2023
Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang

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Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation

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Jul 19, 2023
Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang

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