How to use edge features in Graph Neural Networks and PyTorch Geometric

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=mdWQYYapvR8

In this video I talk about edge weights, edge types and edge features and how to include them in Graph Neural Networks. :) • ▬▬ Papers ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ • Edge types: • Modeling Relational Data with Graph Convolutional Network (https://arxiv.org/pdf/1703.06103.pdf) • GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation (https://arxiv.org/pdf/1906.12192.pdf) • Multidim. edge features: • Neural Message Passing for Quantum Chemistry (https://arxiv.org/pdf/1704.01212.pdf) • Principal Neighbourhood Aggregation for Graph Nets (https://arxiv.org/pdf/2004.05718.pdf) • Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties (https://journals.aps.org/prl/abstract...) • Edge feature embeddings: • NENN: Incorporate Node and Edge Features in Graph Neural Networks (http://proceedings.mlr.press/v129/yan...) • Exploiting Edge Features in Graph Neural Networks (https://arxiv.org/pdf/1809.02709.pdf) • ▬▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬ • 00:00 Introduction • 05:10 Edge weights • 06:10 Edge types / relations • 09:21 Multidim. edge features • 12:04 Edge feature embeddings • 13:52 Pytorch Geometric • ▬▬ Support me if you like 🌟 • ►Link to this channel: https://bit.ly/3zEqL1W • ►Support me on Patreon: https://bit.ly/2Wed242 • ►Buy me a coffee on Ko-Fi: https://bit.ly/3kJYEdl

#############################

New on site