17 citations · 17 across the 1 of their papers we have counts for
3 papers
cs.LG2019
Haar Graph Pooling
Yu Guang Wang, Ming Li, Zheng Ma +3
Deep Graph Neural Networks (GNNs) are useful models for graph classification and graph-based regression tasks. In these tasks, graph pooling is a critical ingredient by which GNNs…
math.NA2019
Fast Tensor Needlet Transforms for Tangent Vector Fields on the Sphere
Ming Li, Philip Broadbridge, Andriy Olenko +1
This paper constructs a semi-discrete tight frame of tensor needlets associated with a quadrature rule for tangent vector fields on the unit sphere of …
cs.LG2019★ 17 cited
PAN: Path Integral Based Convolution for Deep Graph Neural Networks
Zheng Ma, Ming Li, Yuguang Wang
Convolution operations designed for graph-structured data usually utilize the graph Laplacian, which can be seen as message passing between the adjacent neighbors through a generic…