Virality prediction of Twitter hashtags via Graph Neural Networks.
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Updated
Apr 4, 2021 - Jupyter Notebook
Virality prediction of Twitter hashtags via Graph Neural Networks.
This is the code of the paper Breaking the Expressive Bottleneck of Graph Neural Networks.
📚 A fork of PointNet++ for a study on geometric deep learning
Learning 3D ML
Thesis project repository
Repository of the paper "CoreGDM: Geometric Deep Learning Network Decycling and Dismantling" by M. Grassia and G. Mangioni
A deep neural network with hybrid architecture (EGNN + Transformer) for molecular properties prediction.
Official Implementation of Graph Mixer Networks
Git repo for the paper "Physics-constrained predictive molecular latent space discovery with graph scattering variational autoencoder."
The GMols server providing functionalities to the GMols client.
Code for Self-Supervised Few-Shot Learning on Point Clouds paper at NeurIPS 2020
MongeNet sampler official implementation
Designing amino acids around hotspots
Here there are some useful stuff I have written to work on topological data analysis. Some of the code was developed with specific datasets in mind, but most should generalize well.
Exploring QSAR Models for Activity-Cliff Prediction
Torch implementation of Marc Finzi's Equivariant MLP
Python Framework built on PyTorch and PyTorch Geometric for working with Representation Learning on Graph Neural Networks.
GDL-project
Graph Attention Networks (GATs)
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