publish [GPU]: course_UvA-DL/06-graph-neural-networks

Author: Azure Pipelines

.notebooks/course_UvA-DL/06-graph-neural-networks.ipynb

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+oid sha256:70a99f6ffd0d56c5acd7f619779ddff61ef9ce958f06067541724d98521ab23c
+size 106624

.notebooks/course_UvA-DL/06-graph-neural-networks.jpg

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+title: 'Tutorial 6: Basics of Graph Neural Networks'
+author: Phillip Lippe
+created: 2021-06-07
+updated: 2023-03-14
+license: CC BY-SA
+build: 0
+tags:
+- Graph
+description: 'In this tutorial, we will discuss the application of neural networks
+  on graphs.
+
+  Graph Neural Networks (GNNs) have recently gained increasing popularity in both
+  applications and research,
+
+  including domains such as social networks, knowledge graphs, recommender systems,
+  and bioinformatics.
+
+  While the theory and math behind GNNs might first seem complicated,
+
+  the implementation of those models is quite simple and helps in understanding the
+  methodology.
+
+  Therefore, we will discuss the implementation of basic network layers of a GNN,
+
+  namely graph convolutions, and attention layers.
+
+  Finally, we will apply a GNN on semi-supervised node classification and molecule
+  categorization.
+
+  This notebook is part of a lecture series on Deep Learning at the University of
+  Amsterdam.
+
+  The full list of tutorials can be found at https://uvadlc-notebooks.rtfd.io.
+
+  '
+requirements:
+- torch-scatter
+- torch-sparse
+- torch-cluster
+- torch-spline-conv
+- torch-geometric>=2.0.0,<2.5.0
+- lightning>=2.0.0
+pip__find-link:
+- https://pytorch-geometric.com/whl/torch-%(TORCH_MAJOR_DOT_MINOR)s.0+%(DEVICE)s.html
+accelerator:
+- GPU
+environment:
+- matplotlib==3.8.4
+- numpy==1.26.4
+- torch-sparse==0.6.18+pt20cu118
+- lightning==2.3.3
+- urllib3==2.2.2
+- torchmetrics==1.2.1
+- torch-scatter==2.1.2+pt20cu118
+- torch-cluster==1.6.3+pt20cu118
+- torch_geometric==2.4.0
+- torch==2.0.1+cu118
+- torch-spline-conv==1.2.2+pt20cu118
+- setuptools==69.0.3
+- pytorch-lightning==1.5.3
+- ipython==8.16.1
+published: '2024-07-22T15:49:36.460618'