SiGNN: A Spike-induced Graph Neural Network for Enhancing Dynamic Graph Representation Learning

SiGNN, a novel framework, effectively integrates the temporal dynamics of Spiking Neural Networks (SNNs) with the powerful capabilities of Graph Neural Networks (GNNs) to learn enhanced spatial-temporal node representations on dynamic graphs.