Fenyu Hu

According to our database, Fenyu Hu authored at least 9 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Improving Multi-task GNNs for Molecular Property Prediction via Missing Label Imputation.

Fenyu Hu, Dingshuo Chen, Qiang Liu, Shu Wu

Mach. Intell. Res., February, 2025

2022

GraphDIVE: Graph Classification by Mixture of Diverse Experts.

Fenyu Hu, Liping Wang, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Second-Order Global Attention Networks for Graph Classification and Regression.

Fenyu Hu, Zeyu Cui, Shu Wu, Qiang Liu, Jinlin Wu, Liang Wang, Tieniu Tan

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

GraphAIR: Graph representation learning with neighborhood aggregation and interaction.

Fenyu Hu, Yanqiao Zhu, Shu Wu, Weiran Huang, Liang Wang, Tieniu Tan

Pattern Recognit., 2021

Graph Classification by Mixture of Diverse Experts.

Fenyu Hu, Liping Wang, Shu Wu, Liang Wang, Tieniu Tan

CoRR, 2021

Label-informed Graph Structure Learning for Node Classification.

Liping Wang, Fenyu Hu, Shu Wu, Liang Wang

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

Fully Hyperbolic Graph Convolution Network for Recommendation.

Liping Wang, Fenyu Hu, Shu Wu, Liang Wang

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

2019

Semi-supervised Node Classification via Hierarchical Graph Convolutional Networks.

Fenyu Hu, Yanqiao Zhu, Shu Wu, Liang Wang, Tieniu Tan

CoRR, 2019

Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification.

Fenyu Hu, Yanqiao Zhu, Shu Wu, Liang Wang, Tieniu Tan

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019