Παρακολούθηση
Haitao Mao
Haitao Mao
Michigan State University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα msu.edu - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Exploring the potential of large language models (llms) in learning on graphs
Z Chen, H Mao, H Li, W Jin, H Wen, X Wei, S Wang, D Yin, W Fan, H Liu, ...
ACM SIGKDD Explorations Newsletter 25 (2), 42-61, 2024
2802024
Demystifying structural disparity in graph neural networks: Can one size fit all?
H Mao, Z Chen, W Jin, H Han, Y Ma, T Zhao, N Shah, J Tang
Advances in neural information processing systems 36, 2023
572023
Label-free node classification on graphs with large language models (llms)
Z Chen, H Mao, H Wen, H Han, W Jin, H Zhang, H Liu, J Tang
International Conference on Learning Representations, 2024
562024
Evaluating graph neural networks for link prediction: Current pitfalls and new benchmarking
J Li, H Shomer, H Mao, S Zeng, Y Ma, N Shah, J Tang, D Yin
Advances in Neural Information Processing Systems 36, 2023
562023
Graph foundation models
H Mao, Z Chen, W Tang, J Zhao, Y Ma, T Zhao, N Shah, M Galkin, J Tang
Forty-first International Conference on Machine Learning, 2024
47*2024
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
W Jin*, H Mao*, Z Li, H Jiang, C Luo, H Wen, H Han, H Lu, Z Wang, R Li, ...
Advances in neural information processing systems 36, 2023
402023
Source Free Graph Unsupervised Domain Adaptation
H Mao, L Du, Y Zheng, Q Fu, Z Li, X Chen, S Han, D Zhang
Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024
342024
Revisiting link prediction: A data perspective
H Mao, J Li, H Shomer, B Li, W Fan, Y Ma, T Zhao, N Shah, J Tang
International Conference on Learning Representations, 2024
232024
A Large Scale Search Dataset for Unbiased Learning to Rank
H Mao*, L Zou*, X Chu, J Tang, W Ye, S Wang, D Yin
Advances in Neural Information Processing Systems 35, 2022
232022
Graph machine learning in the era of large language models (llms)
W Fan, S Wang, J Huang, Z Chen, Y Song, W Tang, H Mao, H Liu, X Liu, ...
arXiv preprint arXiv:2404.14928, 2024
212024
Alternately optimized graph neural networks
H Han, X Liu, H Mao, MA Torkamani, F Shi, V Lee, J Tang
International Conference on Machine Learning, 12411-12429, 2023
142023
Neural scaling laws on graphs
J Liu, H Mao, Z Chen, T Zhao, N Shah, J Tang
Learning on Graphs Conference 2024, 2024
132024
Neuron Campaign for Initialization Guided by Information Bottleneck Theory
H Mao, X Chen, Q Fu, L Du, S Han, D Zhang
Proceedings of the 30th ACM International Conference on Information …, 2021
122021
A Survey to Recent Progress Towards Understanding In-Context Learning
H Mao, G Liu, Y Ma, R Wang, J Tang
NAACL 2025, 2025
6*2025
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
Z Chen, H Mao, J Liu, Y Song, B Li, W Jin, B Fatemi, A Tsitsulin, B Perozzi, ...
Advances in neural information processing systems 37, 2024
62024
Lpformer: An adaptive graph transformer for link prediction
H Shomer, Y Ma, H Mao, J Li, B Wu, J Tang
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
5*2024
Whole Page Unbiased Learning to Rank
H Mao, L Zou, Y Zheng, J Tang, X Chu, J Zhao, Q Wang, D Yin
Proceedings of the ACM on Web Conference 2024, 1431-1440, 2024
52024
Company competition graph
Y Zhang, Y Lu, H Mao, J Huang, C Zhang, X Li, R Dai
arXiv preprint arXiv:2304.00323, 2023
52023
Neuron with Steady Response Leads to Better Generalization
H Mao*, Q Fu*, L Du*, X Chen, W Fang, S Han, D Zhang
Advances in neural information processing systems 35, 2022
52022
Addressing shortcomings in fair graph learning datasets: Towards a new benchmark
X Qian, Z Guo, J Li, H Mao, B Li, S Wang, Y Ma
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
42024
Δεν είναι δυνατή η εκτέλεση της ενέργειας από το σύστημα αυτή τη στιγμή. Προσπαθήστε ξανά αργότερα.
Άρθρα 1–20