10 citations · 29 across the 16 of their papers we have counts for
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cs.LG2024
LightHGNN: Distilling Hypergraph Neural Networks into MLPs for Faster Inference
Yifan Feng, Yihe Luo, Shihui Ying +1
Hypergraph Neural Networks (HGNNs) have recently attracted much attention and exhibited satisfactory performance due to their superiority in high-order correlation modeling. Howeve…
cs.LG2023
HNS: An Efficient Hermite Neural Solver for Solving Time-Fractional Partial Differential Equations
Jie Hou, Zhiying Ma, Shihui Ying +1
Neural network solvers represent an innovative and promising approach for tackling time-fractional partial differential equations by utilizing deep learning techniques. L1 interpol…
cs.LG2022★ 9 cited
Deep Hypergraph Structure Learning
Zizhao Zhang, Yifan Feng, Shihui Ying +1
Learning on high-order correlation has shown superiority in data representation learning, where hypergraph has been widely used in recent decades. The performance of hypergraph-bas…