Influential simplices mining via simplicial convolutional networks

Yujie Zeng, Yiming Huang, Qiang Wu, Linyuan Lü

Abstract: Highlights•Observe the inconsistency between influential nodes/ simplices mining tasks.•Formulate influential simplices mining as a graph representation learning task.•Introduce a novel higher-order representation.•Propose Influential Simplices Mining Neural Networks based on the representation.•Extensive experiments demonstrate our model’s commendable performance.