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.
Numerical computations were performed using NumPy 1.26.4 (Harris et al., 2020) and SciPy 1.15.3 (Virtanen et al., 2020)
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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.