2 repository-uri
Awesome GitHub RepositoriesNode Embeddings
Techniques for representing graph nodes as low-dimensional vectors that capture structural and neighborhood information.
Distinct from Graph Node Filtering: Candidates focus on graph database mutations or visual pipelines, not the ML task of vector embedding generation.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Node Embeddings. Refine with filters or upvote what's useful.
Awesome Node Embeddings GitHub Repositories
Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
- tkipf/pygcn
tkipf/pygcn
5,404Vezi pe GitHubpygcn is a PyTorch library and framework for implementing graph convolutional networks. It provides tools for semi-supervised node classification and the generation of node embeddings from graph-structured data. The system converts graph nodes into low-dimensional vectors based on neighborhood patterns and local similarities. It enables the prediction of node labels by leveraging both a small set of labeled examples and the overall graph topology. The library covers relational data analysis and semi-supervised graph learning. It includes computational primitives for message passing, adjacenc
Converting complex graph nodes into simple vectors to analyze community structures and local patterns using PyTorch.
Python - shenweichen/graphembedding
shenweichen/GraphEmbedding
3,844Vezi pe GitHubGraphEmbedding is a graph network representation library and node embedding framework. It provides a toolkit for transforming complex network nodes into low-dimensional vector spaces, enabling the integration of relational graph data into machine learning workflows. The library functions as a dimensionality reduction toolkit and network topology analysis tool. It uses matrix-factorization techniques to preserve global connectivity and employs random-walk sampling with skip-gram based vector optimization to learn numerical representations of nodes. The framework covers several domain-specific
Implements a framework for learning node embeddings using random-walk sampling and skip-gram optimization.
Pythondeepwalkgraphgraphembedding
