Haitao Mao

According to our database, Haitao Mao authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Impact assessment and mechanism of water conservancy policy on carbon emission performance under the background of artificial intelligence.

Junjie Xiang, Haitao Mao, Bin Yang

Expert Syst. J. Knowl. Eng., May, 2024

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

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

CoRR, 2024

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

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

CoRR, 2024

Universal Link Predictor By In-Context Learning on Graphs.

Kaiwen Dong, Haitao Mao, Zhichun Guo, Nitesh V. Chawla

CoRR, 2024

Graph Foundation Models.

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

CoRR, 2024

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

Haitao Mao, Guangliang Liu, Yao Ma, Rongrong Wang, Jiliang Tang

CoRR, 2024

Neural Scaling Laws on Graphs.

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

CoRR, 2024

Whole Page Unbiased Learning to Rank.

Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin

Proceedings of the ACM on Web Conference 2024, 2024

The 1st International Workshop on Graph Foundation Models (GFM).

Haitao Mao, Jianan Zhao, Xiaoxin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Micheal M. Bronstein, Xavier Bresson, Bryan Hooi, Haiyang Zhang, Xianfeng Tang, Luo Chen, Jiliang Tang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Source Free Graph Unsupervised Domain Adaptation.

Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs.

Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang

SIGKDD Explor., December, 2023

Adaptive Pairwise Encodings for Link Prediction.

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

CoRR, 2023

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

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

CoRR, 2023

Revisiting Link Prediction: A Data Perspective.

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

CoRR, 2023

Form 10-K Itemization.

Yanci Zhang, Mengjia Xia, Mingyang Li, Haitao Mao, Yutong Lu, Yupeng Lan, Jinlin Ye, Rui Dai

CoRR, 2023

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking.

Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Alternately Optimized Graph Neural Networks.

Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang

Proceedings of the International Conference on Machine Learning, 2023

2022

Whole Page Unbiased Learning to Rank.

Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin

CoRR, 2022

A Large Scale Search Dataset for Unbiased Learning to Rank.

Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neuron with Steady Response Leads to Better Generalization.

Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Source Free Unsupervised Graph Domain Adaptation.

Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang

CoRR, 2021

Neuron Campaign for Initialization Guided by Information Bottleneck Theory.

Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2018

A machine learning based computer-aided molecular design/screening methodology for fragrance molecules.

Lei Zhang, Haitao Mao, Linlin Liu, Jian Du, Rafiqul Gani

Comput. Chem. Eng., 2018