GabrieleSantin's Stars
steveazzolin/gdl_tutorial_turinginst
Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute
AntonioLonga/SIAM-CSE23-minitutorial-PyG
A minitutorial at the SIAM Conference on Computational Science and Engineering, February 26 - March 3, 2023
AntonioLonga/Explaining-the-Explainers-in-Graph-Neural-Networks
Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"
geometric-kernels/GeometricKernels
Geometric kernels on manifolds, meshes and graphs
MatteoRagni/Clothoids-1
treverhines/RBF
Python package containing the tools necessary for radial basis function (RBF) applications
POSTECH-CVLab/PyTorch-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
PythonOT/POT
POT : Python Optimal Transport
AntonioLonga/AdvancePyTorchGeometricTutorials
here you can find the material used for our Tutorials
AntonioLonga/Egocentric-Temporal-Motifs-Miner-ETMM
Egocentric Temporal Motifs Miner
cristian-rusu-research/FAST-EIGENSPACE-APPROXIMATIONS
Demo souce code for Fast approximate eigenspaces with application to fast graph Fourier transforms
fabsig/GPBoost
Combining tree-boosting with Gaussian process and mixed effects models
IgorTo/rbf-fd
konosp/propensity-score-matching
AntixK/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
AntonioLonga/PytorchGeometricTutorial
Pytorch Geometric Tutorials
WolfgangErb/GBFlearn
GBFlearn
PersonalDataIO/CoronaRiskScoring
DigitalContactTracing/Using-real-world-contact-networks-to-quantify-the-effectiveness-of-digital-contact-tracing
Preprint work on digital contact tracing.
Feibio93/COVID-19-BL
Evoluzione del coronavirus nella provincia di Belluno, aggiornata ogni giorno con dati ufficiali presi da Azienda Zero.
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.