tangjianpku/LINE

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1053 stars · 408 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

LINE is a C++ toolkit for embedding very large-scale information networks into low-dimensional vectors, supporting directed, undirected, binary, and weighted edges. It can embed networks with millions of vertices and billions of edges on a single machine within hours.

Use cases

• embed large-scale information networks into vectors
• learn node embeddings for a social network graph
• generate graph embeddings for link prediction
• embed a weighted directed graph with millions of nodes
• train network representations for node classification

When to choose

• you need to embed a very large network (billions of edges) on a single machine
• you want the classic LINE first-order/second-order proximity model
• you work with C++ and want a fast, lightweight graph embedding tool

When to avoid

• you want actively maintained software - the repo is explicitly unmaintained
• you need modern graph embedding methods - use the authors' GraphVite instead
• you prefer Python-based tooling or GPU acceleration

Facets

cli-tool · maturity abandoned

machine-learning cli machine-learning graph-processing windows cpp graph-embedding network-embedding node2vec unsupervised-learning algorithms linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="tangjianpku/LINE")