1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
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…
cs.LG2019
Hybrid Low-order and Higher-order Graph Convolutional Networks
FangYuan Lei, Xun Liu, QingYun Dai +3
With higher-order neighborhood information of graph network, the accuracy of graph representation learning classification can be significantly improved. However, the current higher…