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Source code of NeurIPS 2023 "Provable Training for Graph Contrastive Learning"
Library for training machine learning models with privacy for training data
Differential Privacy Preservation in Deep Learning
PrivGAN: Protecting GANs from membership inference attacks at low cost
Code for PrivGNN paper
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
All in One: Multi-task Prompting for Graph Neural Networks, KDD 2023.
Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"
PyGCL: A PyTorch Library for Graph Contrastive Learning
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
Graph Neural Network Library for PyTorch
Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
[NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"
This is the implement of RNCGLN which paper is submitted to AAAI24
Code for 'Robust Federated Learning with Noisy Labels'
Official implementation of RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning
Reinplementation of the paper On Data-Driven Saak Transform
Official Code for ECCV 2022 Paper “Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization”
The official implementation for paper: Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels
IJCAI-Personalized Federated Learning with Graph
NeurIPS 2022 - SHGP
[WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
Provable adversarial robustness at ImageNet scale
Pytorch implementation for Deep Self-Learning From Noisy Labels
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.