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Use when working with GraphSAGE — Graph Sample and Aggregate — an inductive graph neural network framework for learning node embeddings on large graphs. Applies to biological network analysis: protein
Use with AI
Install the MCP server or CLI to instantly fetch GraphSAGE documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/graphsage
igraph — Fast, open-source C library with Python, R, and Mathematica interfaces for graph and network analysis. Used in biological network analysis, protein-protein interaction (PPI) networks, gene re
3 shared topics • 1 shared operation
Cytoscape.js — JavaScript graph theory library for network visualization and analysis in the browser and Node.js. Renders interactive biological networks, protein-protein interaction graphs, pathway d
3 shared topics
ProDy — Python library for protein dynamics analysis and structural bioinformatics. Provides elastic network models (GNM, ANM), principal component analysis (PCA) of structural ensembles and MD trajec
3 shared topics
g:Profiler — multi-organism functional enrichment analysis and gene identifier mapping toolkit. Performs over-representation analysis (ORA) against Gene Ontology (GO:BP, GO:MF, GO:CC), KEGG, Reactome,
2 shared topics • 1 shared operation
ProteinMPNN — deep learning-based protein sequence design from backbone structures. Uses message passing neural networks to predict amino acid sequences that fold into a given 3D backbone. Supports fi
2 shared topics • 1 shared operation