soroushzargar
Graph Neural Networks, Uncertainty Quantification
CISPA Helmholtz Center for Information SecurityCologne, Germany
Pinned Repositories
lilcom
Small compression utility
acm
acm problems solutions
ACM-practice
This repo is made to hold my acm practice files
adversarial_training_adapted
Adapted from saper0 (Lukas Gosch): Codebase used to generate the results for NeurIPS23 "Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions" paper.
baseline-gnn-setups
My baseline setups for GNN tasks; including data and models
CAS
CDF-aware conformal prediction sets. The implementations from the paper "Robust Yet Efficient Conformal Prediction Sets".
conformal-node-classification
Conformal prediction for node classification (both transductive and inductive settings).
DAPS
Implementations of methods proposed in the paper "Conformal Prediction Sets for Graph Neural Networks"
fractional-Fourier-Transform
Short Time Fractional Fourier Transform
TorchGNN-Utils
Utility Methods and Classes for Working with Graph Neural Networks
soroushzargar's Repositories
soroushzargar/DAPS
Implementations of methods proposed in the paper "Conformal Prediction Sets for Graph Neural Networks"
soroushzargar/fractional-Fourier-Transform
Short Time Fractional Fourier Transform
soroushzargar/conformal-node-classification
Conformal prediction for node classification (both transductive and inductive settings).
soroushzargar/acm
acm problems solutions
soroushzargar/ACM-practice
This repo is made to hold my acm practice files
soroushzargar/adversarial_training_adapted
Adapted from saper0 (Lukas Gosch): Codebase used to generate the results for NeurIPS23 "Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions" paper.
soroushzargar/baseline-gnn-setups
My baseline setups for GNN tasks; including data and models
soroushzargar/CAS
CDF-aware conformal prediction sets. The implementations from the paper "Robust Yet Efficient Conformal Prediction Sets".
soroushzargar/efficient_discrete_robustness
An Implementation of the paper "Efficient Robustness Certificates for Discrete Data"
soroushzargar/GNNTools
Ready to use models and methods needed for GNN experiments with pytorch
soroushzargar/isoperimetric-clustering
Clustering Based on Isoperimetric Number
soroushzargar/logos-archontas
a toolkit for speech enhancement experiments
soroushzargar/micro-lab-project
A micro controller that receives data from sensors and do sth
soroushzargar/TorchGNN-Utils
Utility Methods and Classes for Working with Graph Neural Networks
soroushzargar/my_cv
soroushzargar/PyGConformal
Implementation of the diffusion and conformal prediction procedure propose in paper "Conformal Prediction Sets for Graph Neural Networks"
soroushzargar/sample-nn-inference
A C++ implementation of Neural Network Inference Phase
soroushzargar/torch-cp
Conformal Prediction for Images, tabular data, and Graphs
soroushzargar/yapAIAssesment
Including result of assessment given by YapAiTek