leader120's repositories
Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
AIJack
Security and Privacy Risk Simulator for Machine Learning
Awesome-Domain-LLM
收集和梳理垂直领域的开源模型、数据集及评测基准。
awesome-imbalanced-learning-on-graphs
A repository contains a collection of resources and papers on Imbalance Learning On Graphs
bkd_fedgnn
Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"
Differential-Privacy-Based-Federated-Learning
Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )
DIG
A library for graph deep learning research
DISC
The official implementation of CVPR2023 paper "DISC: Learning from Noisy Labels via Dynamic Instance-Specific Selection and Correction"
DynamicPFL
nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy
erase
[Arxiv-2023] Official code for work "ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance"
Fed-NCL
Federated Noisy Client Learning
FedNoisy
Benchmark for federated noisy label learning
FedPCL
[NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
FPL_MS
a MindSpore implementation of Federated Prototype Learning
GCFL
This repository is the implementation of Federated Graph Classification over Non-IID Graphs.
GraphCL
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
GSLB
A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)
HtFL
You only need to configure one file to support model heterogeneity scenarios.
LAGNN
[ICML 2022] Local Augmentation for Graph Neural Networks
MSSGCL
the source code of IJCAI 2023 paper "Multi-Scale subgraph contrastive learning"
PFLlib
Personalized federated learning simulation platform with non-IID and unbalanced dataset
POT-GCL
Source code of NeurIPS 2023 "Provable Training for Graph Contrastive Learning"
pytorch_geometric
Graph Neural Network Library for PyTorch
SFL-Structural-Federated-Learning
IJCAI-Personalized Federated Learning with Graph
stellargraph
StellarGraph - Machine Learning on Graphs
SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)