Diffusion models for time-series applications: a survey von Lin, Lequan, Li, Zhengkun, Li, Ruikun, Li, Xuliang, Gao, Junbin

Volltext

A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs von Lin, Lequan

Volltext bestellen

A Simple Yet Effective Framelet-Based Graph Neural Network for Directed Graphs von Zou, Chunya, Han, Andi, Lin, Lequan, Li, Ming, Gao, Junbin

Volltext

Design your own universe: a physics-informed agnostic method for enhancing graph neural networks von Shi, Dai, Han, Andi, Lin, Lequan, Guo, Yi, Wang, Zhiyong, Gao, Junbin

Volltext

A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs von Lin, Lequan, Gao, Junbin

Volltext bestellen

Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning von Lin, Lequan, Shi, Dai, Han, Andi, Wang, Zhiyong, Gao, Junbin

Volltext bestellen

Unleash Graph Neural Networks from Heavy Tuning von Lin, Lequan, Shi, Dai, Han, Andi, Wang, Zhiyong, Gao, Junbin

Volltext bestellen

From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond von Han, Andi, Shi, Dai, Lin, Lequan, Gao, Junbin

Volltext bestellen

Diffusion Models for Time Series Applications: A Survey von Lin, Lequan, Li, Zhengkun, Li, Ruikun, Li, Xuliang, Gao, Junbin

Volltext bestellen

When Graph Neural Networks Meet Dynamic Mode Decomposition von Shi, Dai, Lin, Lequan, Han, Andi, Wang, Zhiyong, Guo, Yi, Gao, Junbin

Volltext bestellen

A Simple Yet Effective SVD-GCN for Directed Graphs von Zou, Chunya, Han, Andi, Lin, Lequan, Gao, Junbin

Volltext bestellen

Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks von Shi, Dai, Han, Andi, Lin, Lequan, Guo, Yi, Wang, Zhiyong, Gao, Junbin

Volltext bestellen

Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning von Lin, Lequan, Shi, Dai, Han, Andi, Wang, Zhiyong, Gao, Junbin

Volltext

SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting von Lin, Lequan, Shi, Dai, Han, Andi, Gao, Junbin

Volltext

Unleash Graph Neural Networks from Heavy Tuning von Lin, Lequan, Shi, Dai, Han, Andi, Wang, Zhiyong, Gao, Junbin

Volltext

Bregman Graph Neural Network von Zhai, Jiayu, Lin, Lequan, Shi, Dai, Gao, Junbin

Volltext

Diffusion Models for Time Series Applications: A Survey von Lin, Lequan, Li, Zhengkun, Li, Ruikun, Li, Xuliang, Gao, Junbin

Volltext

When Graph Neural Networks Meet Dynamic Mode Decomposition von Shi, Dai, Lin, Lequan, Han, Andi, Wang, Zhiyong, Guo, Yi, Gao, Junbin

Volltext

Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks von Shi, Dai, Han, Andi, Lin, Lequan, Guo, Yi, Wang, Zhiyong, Gao, Junbin

Volltext

A Simple Yet Effective SVD-GCN for Directed Graphs von Zou, Chunya, Han, Andi, Lin, Lequan, Gao, Junbin

Volltext