9 citations · 14 across the 5 of their papers we have counts for
6 papers
SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP
Jie Chen, Shouzhen Chen, Mingyuan Bai +3
The message-passing mechanism helps Graph Neural Networks (GNNs) achieve remarkable results on various node classification tasks. Nevertheless, the recursive nodes fetching and agg…
Neural Ordinary Differential Equation Model for Evolutionary Subspace Clustering and Its Applications
Mingyuan Bai, S. T. Boris Choy, Junping Zhang +1
The neural ordinary differential equation (neural ODE) model has attracted increasing attention in time series analysis for its capability to process irregular time steps, i.e., da…
Efficient Spatial Nearest Neighbor Queries Based on Multi-layer Voronoi Diagrams
Yang Li, Gang Liu, Junbin Gao +3
Nearest neighbor (NN) problem is an important scientific problem. The NN query, to find the closest one to a given query point among a set of points, is widely used in applications…
LSTM-Assisted Evolutionary Self-Expressive Subspace Clustering
Di Xu, Tianhang Long, Junbin Gao
Massive volumes of high-dimensional data that evolves over time is continuously collected by contemporary information processing systems, which brings up the problem of organizing…
Tensor-Train Parameterization for Ultra Dimensionality Reduction
Mingyuan Bai, S. T. Boris Choy, Xin Song +1
Locality preserving projections (LPP) are a classical dimensionality reduction method based on data graph information. However, LPP is still responsive to extreme outliers. LPP aim…
Tensorial Recurrent Neural Networks for Longitudinal Data Analysis
Mingyuan Bai, Boyan Zhang, Junbin Gao
Traditional Recurrent Neural Networks assume vectorized data as inputs. However many data from modern science and technology come in certain structures such as tensorial time serie…