ChronoSpike is a spiking GNN that integrates adaptive LIF neurons with spatial attention and temporal transformers to outperform baselines on dynamic graph benchmarks by 2% F1 while training 3-10x faster with fixed parameters and stability guarantees.
Each layer k applies learnable transformations W(k) s ,W (k) n ∈R d×dh to aggregate neighbor features adaptively, producing synaptic inputsI (t) for the spiking neurons
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ChronoSpike: An Adaptive Spiking Graph Neural Network for Dynamic Graphs
ChronoSpike is a spiking GNN that integrates adaptive LIF neurons with spatial attention and temporal transformers to outperform baselines on dynamic graph benchmarks by 2% F1 while training 3-10x faster with fixed parameters and stability guarantees.