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pro-gnn

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

prog

All in One: Multi-task Prompting for Graph Neural Networks, KDD 2023.

protgnn

Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"

pygcl

PyGCL: A PyTorch Library for Graph Contrastive Learning

pytorch-gat

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!

pytorch_classification

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

pytorch_geometric

Graph Neural Network Library for PyTorch

rebmigraph

relaxloss

Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)

rgib

[NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"

rncgln

This is the implement of RNCGLN which paper is submitted to AAAI24

robust-federated-learning-with-noisy-labels

Code for 'Robust Federated Learning with Noisy Labels'

robustness_metrics

robusttraininggnn

robust_fl

rosa

Official implementation of RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning

saak-transform

Reinplementation of the paper On Data-Driven Saak Transform

secure-network-release-with-link-privacy

self-filtering

Official Code for ECCV 2022 Paper “Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization”

sfa

The official implementation for paper: Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels

sfl-structural-federated-learning

IJCAI-Personalized Federated Learning with Graph

shgp

NeurIPS 2022 - SHGP

simgrace

[WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"

smoothing

Provable adversarial robustness at ImageNet scale

smp

Pytorch implementation for Deep Self-Learning From Noisy Labels

stable

source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".

stealingverification

Defending against Model Stealing via Verifying Embedded External Features

stellargraph

StellarGraph - Machine Learning on Graphs

supcontrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

synthesizing-robust-adversarial-examples

My entry for ICLR 2018 Reproducibility Challenge for paper Synthesizing robust adversarial examples https://openreview.net/pdf?id=BJDH5M-AW