29 citations · 97 across the 19 of their papers we have counts for
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cs.LG2022★ 13 cited
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks
Jian Kang, Qinghai Zhou, Hanghang Tong
Graph Convolutional Network (GCN) has exhibited strong empirical performance in many real-world applications. The vast majority of existing works on GCN primarily focus on the accu…
cs.LG2022★ 3 cited
Solving Coupled Differential Equation Groups Using PINO-CDE
Wenhao Ding, Qing He, Hanghang Tong +2
As a fundamental mathmatical tool in many engineering disciplines, coupled differential equation groups are being widely used to model complex structures containing multiple physic…
cs.CE2022
PINO-MBD: Physics-informed Neural Operator for Solving Coupled ODEs in Multi-body Dynamics
Wenhao Ding, Qing He, Hanghang Tong +1
In multi-body dynamics, the motion of a complicated physical object is described as a coupled ordinary differential equation system with multiple unknown solutions. Engineers need…