3D object classification simple demo
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Updated
Jan 23, 2021 - Python
3D object classification simple demo
Classification of molecules' ability to inhibit HIV with Graph Neural Networks (PyTorch Geometric) - work in progress.
GCN model trained on the IMDB-BINARY dataset and a custom graph class to modify graphs in the dataset as well as explain and approximate the model.
Deep Learning with Graph Representation of Bio-Molecules to estimate physical Properties
Clean version of the code used for the development of my master's thesis.
Papers about Phishing Scams Detectation on Ethereum
Python Framework built on PyTorch and PyTorch Geometric for working with Representation Learning on Graph Neural Networks.
Streamlit App for Node and Graph Classification and Explainability
Graph Neural Network for Disease-Gene Link Prediction
3D Human Part Segmentation with Point Transformer
Developing efficient classification for Reddit posts/comments/communities with Graph Neural Networks (GNNs)
Seamlessly build the MuMiN dataset.
This is the code of the paper Breaking the Expressive Bottleneck of Graph Neural Networks.
Maintaining accuracy in Graph Neural Networks with increasing depth
HiCAP---Hierarchical Clustering-based Attention Pooling for Graph Representation Learning
A PyG-based package of spectral GNNs with benchmark evaluations.
Train your own GCN model using the latest pytorch-geometric 📉 to solve image classification problem 🧠
Using Graph Representation Learning for Facial Landmark detection.
🧬 Process repository for my master thesis attacking drug response prediction on cancer cell-lines using bi-modal graph neural networks
Python implementation of the tools described in the thesis work in computer science "Generazione di Ipergrafi del Mondo Reale mediante l'Utilizzo di Tecniche di Deep Learning"
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