GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials

Xun Liu, Alex Hay-Man Ng, Fangyuan Lei +2

Graph Neural Networks (GNNs) are a promising deep learning approach for circumventing many real-world problems on graph-structured data. However, these models usually have at least…