Pytorch Geometric Tutorials
Role in this project:
ML Engineer Contributions:35 commits, 28 pushes in 8 months
Contributions summary:Gabriele added several tutorials related to PyTorch Geometric, specifically focusing on foundational PyTorch concepts, including datasets, models, losses, and optimizers. They then expanded on graph convolutional layers, spectral methods, and autoencoders (ARGA and ARVGA). Furthermore, the user implemented tutorials for DeepWalk and node2vec, further demonstrating expertise in graph neural network techniques.
pytorchgnnpytorch-geometricgeometricgraph-embedding
Contributions:62 commits, 24 pushes in 2 months