33 citations · 84 across the 11 of their papers we have counts for
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cs.LG2021
Spectral Transform Forms Scalable Transformer
Bingxin Zhou, Xinliang Liu, Yuehua Liu +3
Many real-world relational systems, such as social networks and biological systems, contain dynamic interactions. When learning dynamic graph representation, it is essential to emp…
cs.LG2021★ 9 cited
How Framelets Enhance Graph Neural Networks
Xuebin Zheng, Bingxin Zhou, Junbin Gao +4
This paper presents a new approach for assembling graph neural networks based on framelet transforms. The latter provides a multi-scale representation for graph-structured data. We…