gammagl.datasets¶

`gammagl.datasets.Amazon`	The Amazon Computers and Amazon Photo networks from the "Pitfalls of Graph Neural Network Evaluation" paper.
`gammagl.datasets.Coauthor`	The Coauthor CS and Coauthor Physics networks from the "Pitfalls of Graph Neural Network Evaluation" paper.
`gammagl.datasets.TUDataset`	A variety of graph kernel benchmark datasets, .e.g. "IMDB-BINARY", "REDDIT-BINARY" or "PROTEINS", collected from the TU Dortmund University.
`gammagl.datasets.Planetoid`	The citation network datasets "Cora", "CiteSeer" and "PubMed" from the "Revisiting Semi-Supervised Learning with Graph Embeddings" paper.
`gammagl.datasets.Reddit`	The Reddit dataset from the "Inductive Representation Learning on Large Graphs" paper, containing Reddit posts belonging to different communities.
`gammagl.datasets.IMDB`	A subset of the Internet Movie Database (IMDB), as collected in the "MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding" paper.
`gammagl.datasets.Entities`	The relational entities networks "AIFB", "MUTAG", "BGS" and "AM" from the "Modeling Relational Data with Graph Convolutional Networks" paper.
`gammagl.datasets.Flickr`	The Flickr dataset from the "GraphSAINT: Graph Sampling Based Inductive Learning Method" paper, containing descriptions and common properties of images.
`gammagl.datasets.HGBDataset`	A variety of heterogeneous graph benchmark datasets from the "Are We Really Making Much Progress? Revisiting, Benchmarking, and Refining Heterogeneous Graph Neural Networks" paper.
`gammagl.datasets.WikipediaNetwork`	The Wikipedia networks introduced in the "Multi-scale Attributed Node Embedding" paper.
`gammagl.datasets.WebKB`	The WebKB datasets used in the "Geom-GCN: Geometric Graph Convolutional Networks" paper.
`gammagl.datasets.ModelNet40`	The ModelNet40 benchmark dataset used for classification from the "Dynamic Graph CNN for Learning on Point Clouds" paper, containing 12,311 meshed CAD models from 40 categories.
`gammagl.datasets.DBLP`	A subset of the DBLP computer science bibliography website, as collected in the "MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding" paper.
`gammagl.datasets.CA_GrQc`	The CA-GrQc datasets used in the "GraphGAN: Graph Representation Learning with Generative Adversarial Nets" paper.
`gammagl.datasets.ZINC`	The ZINC dataset from the ZINC database and the "Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules" paper, containing about 250,000 molecular graphs with up to 38 heavy atoms.
`gammagl.datasets.AMiner`	The heterogeneous AMiner dataset from the "metapath2vec: Scalable Representation Learning for Heterogeneous Networks" paper, consisting of nodes from type `"paper"`, `"author"` and `"venue"`.
`gammagl.datasets.PolBlogs`	The Political Blogs dataset from the "The Political Blogosphere and the 2004 US Election: Divided they Blog" paper.
`gammagl.datasets.WikiCS`	The semi-supervised Wikipedia-based dataset from the "Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks" paper, containing 11,701 nodes, 216,123 edges, 10 classes and 20 different training splits.