1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Neural Partial Differential Equations with Functional Convolution
Ziqian Wu, Xingzhe He, Yijun Li +4
We present a lightweighted neural PDE representation to discover the hidden structure and predict the solution of different nonlinear PDEs. Our key idea is to leverage the prior of…
cs.IR2022★ 1 cited
Spatial Autoregressive Coding for Graph Neural Recommendation
Jiayi Zheng, Ling Yang, Heyuan Wang +4
Graph embedding methods including traditional shallow models and deep Graph Neural Networks (GNNs) have led to promising applications in recommendation. Nevertheless, shallow model…
cs.LG2018
Adaptive Recurrent Neural Network Based on Mixture Layer
Kui Zhao, Yuechuan Li, Chi Zhang +2
Although Recurrent Neural Network (RNN) has been a powerful tool for modeling sequential data, its performance is inadequate when processing sequences with multiple patterns. In th…