pytorch_geometric and graphnet
About pytorch_geometric
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
This tool helps machine learning engineers and researchers build and train Graph Neural Networks (GNNs) for analyzing structured data. It takes graph-structured data (like social networks, molecular structures, or citation graphs) as input and produces trained GNN models capable of tasks such as classifying nodes, predicting links, or generating new graphs. It is designed for those already familiar with PyTorch.
About graphnet
graphnet-team/graphnet
A Deep learning library for neutrino telescopes
This tool helps high-energy physicists and astrophysicists analyze data from neutrino telescopes like IceCube or KM3NeT. It takes raw event data from these detectors and processes it to reconstruct neutrino interactions, providing highly accurate information about the energy, direction, and type of neutrinos. Researchers use this to perform tasks such as searching for cosmic neutrino sources or studying neutrino oscillations.
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