---
title: "node2vec"
type: "tool"
slug: "eliorc-node2vec"
canonical_url: "https://www.graphcanon.com/tools/eliorc-node2vec"
github_url: "https://github.com/eliorc/node2vec"
homepage_url: null
stars: 1302
forks: 254
primary_language: "Python"
license: "MIT"
archived: false
categories: ["model-training"]
tags: ["deep-learning", "embeddings", "machine-learning-algorithms"]
updated_at: "2026-07-12T06:24:03.271008+00:00"
---

# node2vec

> Implementation of the node2vec algorithm.

node2vec is an algorithmic framework for learning continuous feature representations for nodes in networks. It's a process used to create embeddings suitable for tasks such as link prediction, community detection, and other network analysis tasks.

## Facts

- Repository: https://github.com/eliorc/node2vec
- Stars: 1,302 · Forks: 254 · Open issues: 0 · Watchers: 19
- Primary language: Python
- License: MIT
- Last pushed: 2025-10-06T17:29:00+00:00

## Trust & health

_Signals computed from public GitHub metadata. Not a security guarantee._

- Maintenance: Slowing (computed 2026-07-11T11:31:01.074Z)
- Security scan: No lockfile (0 critical, 0 high, 0 medium, 0 low) · last scan 2026-07-11T11:31:02.036Z
- Full report: [trust report](/tools/eliorc-node2vec/trust.md) · [JSON](https://www.graphcanon.com/api/graphcanon/tools/eliorc-node2vec/trust)

## Categories

- [Model Training](/categories/model-training.md)

## Tags

deep-learning, embeddings, machine-learning-algorithms

## Category neighbours (exploratory)

_Same-category tools for discovery only - not curated alternatives. Cap shown at six._

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- [pytorch](/tools/pytorch-pytorch.md) - Tensors and Dynamic neural networks in Python with strong GPU acceleration (★ 101,752) [Very active]
- [LLMs-from-scratch](/tools/rasbt-llms-from-scratch.md) - Implement a ChatGPT-like LLM in PyTorch from scratch, step by step (★ 98,899) [Steady]
- [DeepSeek-R1](/tools/deepseek-ai-deepseek-r1.md) - Repository contains distilled LLM models derived from Qwen and LLaMA series for various commercial uses. (★ 91,991) [Dormant]

_+ 2 more not listed._

## Adoption goal

node2vec is a Python implementation of an algorithmic framework that creates continuous feature representations for nodes in networks, useful for tasks such as link prediction and community detection.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/eliorc-node2vec`](/api/graphcanon/tools/eliorc-node2vec)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_