Cover Image

Functional Connectivity Graph Neural Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Yang, Yi, Luopeiwen, Songdechakraiwut, Tananun
Format:	Preprint
Published:	2025
Subjects:	Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Connectome-Guided Automatic Learning Rates for Deep Networks
by: He, Peilin, et al.
Published: (2025)

Data-Efficient Neural Training with Dynamic Connectomes
by: Wu, Yutong, et al.
Published: (2025)

Functional connectomes of neural networks
by: Songdechakraiwut, Tananun, et al.
Published: (2024)

Directly Training Temporal Spiking Neural Network with Sparse Surrogate Gradient
by: Li, Yang, et al.
Published: (2024)

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network
by: Xu, Shang, et al.
Published: (2025)

Spiking Neural Networks with Consistent Mapping Relations Allow High-Accuracy Inference
by: Li, Yang, et al.
Published: (2024)

TSkips: Efficiency Through Explicit Temporal Delay Connections in Spiking Neural Networks
by: Malettira, Prajna G., et al.
Published: (2024)

Parallel Spiking Unit for Efficient Training of Spiking Neural Networks
by: Li, Yang, et al.
Published: (2024)

Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks
by: Stapleton, Fergal, et al.
Published: (2025)

Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks
by: Shen, Guobin, et al.
Published: (2023)

MorphSNN: Adaptive Graph Diffusion and Structural Plasticity for Spiking Neural Networks
by: Huang, Yongsheng, et al.
Published: (2026)

$SpikePack$: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility
by: Shen, Guobin, et al.
Published: (2025)

Stochastic Spiking Neural Networks with First-to-Spike Coding
by: Jiang, Yi, et al.
Published: (2024)

A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks
by: Chen, Xinyi, et al.
Published: (2023)

Synchronized Stepwise Control of Firing and Learning Thresholds in a Spiking Randomly Connected Neural Network toward Hardware Implementation
by: Nomura, Kumiko, et al.
Published: (2024)

Web Neural Network with Complete DiGraphs
by: Li, Frank
Published: (2024)

[RETRACTED]Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks
by: Bertschinger, Amanda, et al.
Published: (2025)

CHNNet: An Artificial Neural Network With Connected Hidden Neurons
by: Shahir, Rafiad Sadat, et al.
Published: (2023)

A Latency Coding Framework for Deep Spiking Neural Networks with Ultra-Low Latency
by: Lu, Yi, et al.
Published: (2026)

Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks
by: Zhang, Jieyuan, et al.
Published: (2025)

A Review on Zeroing Neural Networks
by: Jiang, Chengze, et al.
Published: (2025)

Fractional-order Spiking Neural Network
by: Ge, Chengjie, et al.
Published: (2025)

Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects
by: Ma, Chenxiang, et al.
Published: (2025)

Neural Architecture Search of Time-to-First-Spike-Coded Spiking Neural Networks for Efficient Eye-based Emotion Recognition
by: Liu, Qianhui, et al.
Published: (2025)

Parallel Training in Spiking Neural Networks
by: Huang, Yanbin, et al.
Published: (2026)

Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
by: Kang, Qiyu, et al.
Published: (2024)

Spatial-Temporal Search for Spiking Neural Networks
by: Che, Kaiwei, et al.
Published: (2024)

Bayesian Inference Accelerator for Spiking Neural Networks
by: Katti, Prabodh, et al.
Published: (2024)

CogniSNN: An Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity
by: Huang, Yongsheng, et al.
Published: (2025)

Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation
by: Feng, Linghao, et al.
Published: (2024)

Quantum Simplicial Neural Networks
by: Piperno, Simone, et al.
Published: (2025)

Expressivity of Spiking Neural Networks
by: Singh, Manjot, et al.
Published: (2023)

Workload-Balanced Pruning for Sparse Spiking Neural Networks
by: Yin, Ruokai, et al.
Published: (2023)

Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware
by: Chen, Zhenhui, et al.
Published: (2025)

Improving Critical Node Detection Using Neural Network-based Initialization in a Genetic Algorithm
by: Liu, Chanjuan, et al.
Published: (2024)

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
by: Lv, Changze, et al.
Published: (2024)

Robust Stable Spiking Neural Networks
by: Ding, Jianhao, et al.
Published: (2024)

A Neural Network Training Method Based on Neuron Connection Coefficient Adjustments
by: Jiang, Kun
Published: (2025)

Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
by: Lv, Changze, et al.
Published: (2024)

Adaptively Pruned Spiking Neural Networks for Energy-Efficient Intracortical Neural Decoding
by: Rivelli, Francesca, et al.
Published: (2025)