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Semi-supervised learning with graph embeddings
An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).
An easy-to-use federated learning platform
We provide a friendly foundational platform for beginners who intend to start Federated Learning (FL)
Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)
A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Official PyTorch implementation for the ICML 2023 paper "Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships".
This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning
This repository is the implementation of Federated Graph Classification over Non-IID Graphs.
Framework for evaluating Graph Neural Network models on semi-supervised node classification task
Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
Official PyTorch implementation of "Cross-Node Federated Graph Neural Network for Spatio-Temporal Modeling".
This is the implementation of OODGAT from KDD'22: Learning on Graphs with Out-of-Distribution Nodes.
Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)
This is a peer prediction simulator for learning agents.
Personalized federated learning simulation platform with non-IID and unbalanced dataset
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.