SiGNN: A spike-induced graph neural network for dynamic graph representation learning

Dong Chen, Shuai Zheng, Muhao Xu, Zhenfeng Zhu, Yao Zhao

Abstract: Highlights•Presenting a SNN-based framework for dynamic graph representation learning.•Proposing a novel mechanism to harmoniously integrate SNNs into static GNNs.•Introducing a dynamic graph analysis with multiple time granularities.•Proposing an advanced SNN neuron model named Bidirectional LIF (BLIF).