[AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
☆80Sep 27, 2023Updated 3 years ago
Alternatives and similar repositories for SpikeNet
Users that are interested in SpikeNet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆86Sep 16, 2022Updated 4 years ago
- [ICML 2024] Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning☆11Jun 1, 2024Updated 2 years ago
- ☆25May 23, 2024Updated 2 years ago
- ☆15Mar 4, 2022Updated 4 years ago
- ☆16Oct 12, 2023Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- The original code for SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization (VLDB 2022) and Scalable Decoupling Graph …☆13Mar 8, 2024Updated 2 years ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆35May 12, 2023Updated 3 years ago
- This is the implementation of MLF & spiking DS-ResNet☆16Dec 20, 2023Updated 2 years ago
- ☆11May 29, 2024Updated 2 years ago
- A SSD-based graph processing engine for billion-node graphs☆12Feb 1, 2015Updated 11 years ago
- Instant Graph Neural Networks for Dynamic Graphs☆11Dec 28, 2022Updated 3 years ago
- Might be a graph storage engine. (WIP)☆13May 14, 2023Updated 3 years ago
- ☆11Jan 28, 2023Updated 3 years ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆88May 20, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study☆16Dec 31, 2024Updated last year
- dynnode2vec is a python package that implements algorithms to embed dynamic graphs☆12Aug 12, 2022Updated 4 years ago
- CLDG: Contrastive Learning on Dynamic Graphs (ICDE'23) | Learning dynamic graph representations through timespan view contrasts (NN'24)☆29Dec 18, 2024Updated last year
- Code for paper 'Node-oriented Spectral Filtering for Graph Neural Networks'（TPAMI2024）☆15Mar 11, 2024Updated 2 years ago
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆49Apr 16, 2026Updated 5 months ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆74May 12, 2026Updated 4 months ago
- Update arXiv papers about Spiking Neural Networks daily.☆518Updated this week
- ☆93Feb 8, 2026Updated 8 months ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆24Dec 24, 2022Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- The link of DGNN's model and some datasets☆29Apr 2, 2025Updated last year
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆306Sep 28, 2023Updated 3 years ago
- [CELL PATTERNS] Official repo of Noisy Spiking Neural Networks☆21Sep 15, 2023Updated 3 years ago
- Source code for AAAI 2024 paper "Finding Visual Saliency in Continuous Spike Stream"☆14Aug 21, 2025Updated last year
- Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).☆709Jun 4, 2025Updated last year
- Tensorflow 1.13.X implementation for our NN paper: Wei Xia, Sen Wang, Ming Yang, Quanxue Gao, Jungong Han, Xinbo Gao: Multi-view graph em…☆18Mar 1, 2022Updated 4 years ago
- ☆16Aug 21, 2020Updated 6 years ago
- The code of the paper "A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks", IEEE Transactions on Cy…☆19May 23, 2022Updated 4 years ago
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆62Apr 16, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆55Mar 6, 2023Updated 3 years ago
- A paper list of spiking neural networks, including papers, codes, and related websites. 本仓库收集脉冲神经网络相关的顶会顶刊以及CNS论文和代码，正在持续更新中。☆845Updated this week
- The official repository for the paper "Deep learning for dynamic graphs: models and benchmarks" accepted at IEEE TNNLS☆27Jul 10, 2024Updated 2 years ago
- Offical implementation of "Temporal-wise Attention Spiking Neural Networks for Event Streams Classification" (ICCV2021)☆23Oct 16, 2023Updated 2 years ago
- ☆18May 30, 2024Updated 2 years ago
- The official PyTorch implementation for 2024-ICASSP-Adaptive Spatial-Temporal Hypergraph Fusion Learning for Next POI Recommendation☆13Sep 8, 2024Updated 2 years ago
- Representation and learning framework for dynamic graphs using Graph Neural Networks.☆12Feb 4, 2022Updated 4 years ago