most citedA Distillation-based Future-aware Graph Neural Network for Stock Trend Prediction

2 citations · 3 across the 7 of their papers we have counts for

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cs.NE2026

MorphSNN: Adaptive Graph Diffusion and Structural Plasticity for Spiking Neural Networks

Yongsheng Huang, Peibo Duan, Yujie Wu +7

Spiking Neural Networks (SNNs) currently face a critical bottleneck: while individual neurons exhibit dynamic biological properties, their macro-scopic architectures remain confine…

cs.NE2025★ 1 cited

CogniSNN: An Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity

Yongsheng Huang, Peibo Duan, Zhipeng Liu +4

Currently, most spiking neural networks (SNNs) still mimic the chain-like hierarchical architecture in traditional artificial neural networks (ANNs). This method significantly diff…