Lequan Lin

According to our database, Lequan Lin authored at least 9 papers between 2022 and 2024.

Collaborative distances:

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

2024

A Simple Yet Effective Framelet-Based Graph Neural Network for Directed Graphs.

Chunya Zou, Andi Han, Lequan Lin, Ming Li, Junbin Gao

IEEE Trans. Artif. Intell., April, 2024

Diffusion models for time-series applications: a survey.

Lequan Lin, Zhengkun Li, Ruikun Li, Xuliang Li, Junbin Gao

Frontiers Inf. Technol. Electron. Eng., January, 2024

Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks.

Dai Shi, Andi Han, Lequan Lin, Yi Guo, Zhiyong Wang, Junbin Gao

CoRR, 2024

SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting.

Lequan Lin, Dai Shi, Andi Han, Junbin Gao

CoRR, 2024

2023

Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges.

Dai Shi, Andi Han, Lequan Lin, Yi Guo, Junbin Gao

CoRR, 2023

From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond.

Andi Han, Dai Shi, Lequan Lin, Junbin Gao

CoRR, 2023

Bregman Graph Neural Network.

Jiayu Zhai, Lequan Lin, Dai Shi, Junbin Gao

CoRR, 2023

A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs.

Lequan Lin, Junbin Gao

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

A Simple Yet Effective SVD-GCN for Directed Graphs.

Chunya Zou, Andi Han, Lequan Lin, Junbin Gao

CoRR, 2022