Alternatives and similar repositories for ESGNN

Users that are interested in ESGNN are comparing it to the libraries listed below

• EdisonLeeeee / SpikeNet
  [AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
  ☆79Updated 2 years ago
• EdisonLeeeee / SpikeGCL
  [ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)
  ☆30Updated last year
• hehaodele / circuit-gnn
  [ICML 2019] Circuit-GNN: Graph Neural Networks for Distributed Circuit Design http://circuit-gnn.csail.mit.edu/
  ☆111Updated 2 years ago
• clear-nus / TactileSGNet
  A spiking graph neural network for event-based learning
  ☆47Updated 5 years ago
• wangsc1912 / rc_pndi
  [Nature Communications 2023] "Wearable in-sensor reservoir computing using optoelectronic polymers with through-space charge-transport ch…
  ☆15Updated 3 years ago
• lican81 / memNN
  ☆21Updated 6 years ago
• Intelligent-Computing-Lab-Panda / SpikeSim
  ☆41Updated 2 years ago
• zhongruiwang / memristorCNN
  memristor 1T1R array based CNN and ConvLSTM
  ☆71Updated 6 years ago
• coreylammie / MemTorch
  A Simulation Framework for Memristive Deep Learning Systems
  ☆175Updated last year
• Intelligent-Computing-Lab-Panda / Neural-Architecture-Search-for-Spiking-Neural-Networks
  Neural Architecture Search for Spiking Neural Networks, ECCV2022
  ☆72Updated 3 years ago
• sandialabs / cross-sim
  CrossSim: accuracy simulation of analog in-memory computing
  ☆190Updated 9 months ago
• microsoft / SeqSNN
  ☆74Updated 6 months ago
• lilasrahis / GNN4REL
  Graph Neural Networks for Predicting Circuit Reliability Degradation. TCAD 2022
  ☆24Updated 3 years ago
• zehao-dong / CktGNN
  Open Circuit Benchmark OCB and source code for CktGNN (https://openreview.net/forum?id=NE2911Kq1sp).
  ☆74Updated 2 years ago
• yjwu17 / Spike-Based-Hybrid-plasticity-Network
  ☆25Updated 4 years ago
• MXHX7199 / SNN-SSTDP
  SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.
  ☆37Updated 4 years ago
• imyjk729 / Memristor
  In-sensor reservoir computing for language learning via two-dimensional memristors
  ☆23Updated 2 years ago
• joksas / nonideality-aware-mnn-training
  Code used in the paper “Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks”
  ☆14Updated 2 years ago
• yhhhli / SNN_Calibration
  Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021
  ☆92Updated last year
• pkuxmq / OTTT-SNN
  [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks
  ☆67Updated 2 years ago
• kouroshHakha / circuit-fewshot-code
  ☆13Updated 3 years ago
• stonezwr / TSSL-BP
  Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.
  ☆73Updated last year
• nitin-rathi / hybrid-snn-conversion
  Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
  ☆103Updated 4 years ago
• zehao-dong / PACE
  ☆16Updated 2 years ago
• kclip / snn
  Code for training binary and WTA SNNs
  ☆17Updated 3 years ago
• shilpakancharla / event-based-velocity-prediction-snn
  Neuromorphic computing uses very-large-scale integration (VLSI) systems with the goal of replicating neurobiological structures and sig…
  ☆13Updated 3 years ago
• XDUSPONGE / SNN_benchmark
  ☆258Updated 4 years ago
• PKUterran / NetlistGNN
  ☆45Updated 2 years ago
• Intelligent-Computing-Lab-Panda / NDA_SNN
  Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.
  ☆44Updated 3 years ago
• ianvermeulen / memristor_simulations
  Simulations using Brian for memristor-based neural networks using STDP learning
  ☆28Updated 9 years ago