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torch-geometric

Skill1 starsChanged 52 days agoNo licenceView on GitHub

PyTorch Geometric (PyG) for graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. Use when working with torch_geometric, not for general NetworkX analytics or non-graph PyTorch models.

  • Installs packages

11 other projects use a version of this, 2 of them edited.

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Projects with it also use ena-database and gwas-database.

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  • garri333Skill

    ena-database

    Access European Nucleotide Archive via API/FTP. Retrieve DNA/RNA sequences, raw reads (FASTQ), genome assemblies by accession, for genomics and bioinformatics pipelines. Supports multiple formats.

    Also in 6 projects that use this

  • garri333Skill

    gwas-database

    Query NHGRI-EBI GWAS Catalog for SNP-trait associations. Search variants by rs ID, disease/trait, gene, retrieve p-values and summary statistics, for genetic epidemiology and polygenic risk scores.

    Also in 6 projects that use this

The file

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We split this skill into the rules it gives an agent

17 rules. 0 are common, 0 are distinctive, and 17 are very specific to this project.

  • 0

    Common

    Most of the 11 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 17

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

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