This repository contains python scripts related to a research that is intended to run graph convolution neural networks in federated manner on distributed graph databases
☆15Sep 19, 2020Updated 5 years ago
Alternatives and similar repositories for federated-gcn
Users that are interested in federated-gcn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official PyTorch implementation of "Cross-Node Federated Graph Neural Network for Spatio-Temporal Modeling".☆70Oct 18, 2021Updated 4 years ago
- ☆11Oct 28, 2021Updated 4 years ago
- Python xml.sax☆10Mar 19, 2019Updated 7 years ago
- ☆10Aug 14, 2020Updated 5 years ago
- impelmentation of https://arxiv.org/pdf/2001.05647.pdf☆39Dec 3, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆11Jan 20, 2020Updated 6 years ago
- Keras implementation of graph convolutional networks for sequence labelling☆12Sep 21, 2018Updated 7 years ago
- ☆16Sep 13, 2025Updated 7 months ago
- Analysis code for "Topological Time-series Analysis with Delay-variant Embedding" Manuscript.☆11Nov 14, 2019Updated 6 years ago
- ☆11Aug 30, 2021Updated 4 years ago
- Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.☆345Feb 21, 2024Updated 2 years ago
- A federated learning demo for AlexNet on CIFAR-10 dataset, basing on Tensorflow.☆61Apr 6, 2021Updated 5 years ago
- ☆11May 24, 2020Updated 5 years ago
- ☆10Nov 12, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆47May 27, 2022Updated 3 years ago
- The official implementation of "Federated Learning with Label-Masking Distillation"☆11Oct 28, 2023Updated 2 years ago
- ☆14Dec 10, 2024Updated last year
- This repository contains a naive implementation of Davies Bouldin Index used to find the optimum number of clusters in K-Means clustering…☆13Jun 5, 2020Updated 5 years ago
- Welcome to the Partially Decryptable Ciphertext Policy Attribute-Based Encryption (CP-ABE) Scheme! This repo implements a CP-ABE scheme t…☆11Jul 17, 2025Updated 9 months ago
- FedGS: Federated Graph-based Sampling with Arbitrary Client Availability, arxiv.org/abs/2211.13975) was accepted by AAAI 2023 Conference.☆17Jan 4, 2023Updated 3 years ago
- ☆14Jan 3, 2025Updated last year
- A new tool for harmonizing volumetric MRI data from unseen scanners (Garcia-Dias et al. 2020)☆18Jan 6, 2023Updated 3 years ago
- ☆10Jun 3, 2021Updated 4 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.
- 得力e+APP 打卡时间统计助手，用于统计截止使用时刻，当周还需多少打卡时间☆12May 7, 2024Updated 2 years ago
- ☆16Jun 17, 2024Updated last year
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆42Apr 30, 2024Updated 2 years ago
- [ICLR 2024] Towards Elminating Hard Label Constraints in Gradient Inverision Attacks☆14Feb 6, 2024Updated 2 years ago
- [ICCV' 23] FedPD: Federated Open Set Recognition with Parameter Disentanglement☆10Mar 25, 2024Updated 2 years ago
- An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.☆14Feb 3, 2025Updated last year
- train 3 GNNs(GCN, GAT, GraphSAGE) on Cora, Citeseer and Pubmed respectively, and compared their performance☆12Jul 12, 2020Updated 5 years ago
- IJCAI-Personalized Federated Learning with Graph☆58May 27, 2023Updated 2 years ago
- Colorizing images using an adversarial network approach.☆11Sep 19, 2017Updated 8 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.
- Multi-center and Multi-channel Pooling Graph Convolutional Network☆17Jul 16, 2022Updated 3 years ago
- A simple federated learning implementation on MNIST dataset using PySyft. Main goal of the project was to get used to the PySyft federate…☆13Apr 19, 2024Updated 2 years ago
- ☆15Dec 15, 2023Updated 2 years ago
- ☆12Sep 16, 2024Updated last year
- 原始项目:[GCN_AAAI2019](https://github.com/yao8839836/text_gcn/) add:多标签分类支持☆18Dec 17, 2019Updated 6 years ago
- ☆15Jan 8, 2020Updated 6 years ago
- Semantic segmentation models for multivariate time series using PyTorch and Ignite☆19Feb 10, 2023Updated 3 years ago