2020TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition阅读笔记 doubleman于同学 基于脉冲图神经网络实现事件驱动的触觉目标识别 paper link: arxiv.org/pdf/2008.0804 Abstract: 触觉感知对于机器人的各种任务至关重要,包括抓取和手部操作。柔性、事件驱动的电子皮肤的新进展...
Spiking graph convolutional neural network2024 Elsevier B.V.Fault diagnosis plays a crucial role in ensuring the safety and efficiency of industrial processes. However, traditional techniques often face difficulties in handling large-scale data characterized by complex structures and relationships. To ...
Graph spiking neural network (graph SNN) To advance the understanding of urban flood risks, this study employs a methodological approach that integrates Graph Neural Networks (GNN) with Spiking Neural Networks (SNN). Specifically, we utilized the Graph Convolutional Network (GCN) from GNNs, as well...
This repository contains code for the IROS 2020 paper "TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition". In this paper, we propose a novel spiking graph neural network for event-based tactile object recognition. To make use of local connectivity of taxels...
Graph Neural Network 图神经网络 这里写目录标题 **GraphSAGE (Inductive Representation Learning on Large Graphs, NIPS2017)** 1. Embedding generation 2. Aggregator Architectures 3. Learning the parameters 4. 实验 5. 思考 **GAT (Graph Attention Ne......
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks [paper] [arxiv] [paper with code] [code] [openreview] SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition [paper] [arxiv] [paper with code] [openreview]...
SpikingJelly是一个基于PyTorch,使用脉冲神经网络(Spiking Neural Network, SNN)进行深度学习的框架。 SpikingJelly的文档使用中英双语编写:https://spikingjelly.readthedocs.io。 安装 以前所未有的简单方式搭建SNN 快速好用的ANN-SNN转换 CUDA增强的神经元 设备支持 ...
In this work we provide design guidelines for the hardware implementation of Spiking Neural Networks. The proposed methodology is applied to temporal pattern recognition analysis. For this purpose the networks are trained using a simplified Genetic Algor
Exploring graph capsual network for graph classification Information Sciences, 581 (2021), pp. 932-950 View PDFView articleView in ScopusGoogle Scholar [37] Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, and Luping Shi. Spatio-temporal backpropagation for training high-performance spiking neural networ...
Brain-inspired graph spiking neural networks for commonsense knowledge representation and reasoning Preprint at arXiv (2022), 10.48550/arXiv.2207.05561 Google Scholar 46 H. Fang, Y. Zeng A brain-inspired causal reasoning model based on spiking neural networks 2021 International Joint Conference on Neu...