DeepGraphLearning/graphvite

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1269 stars · 154 forks observed · 2026-08-28

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

GraphVite is a general, high-performance graph embedding engine written in C++ with Python bindings, supporting node embedding, knowledge graph embedding, and graph/high-dimensional data visualization. It provides training and evaluation pipelines with GPU acceleration and large speedups over existing implementations.

Use cases

• train node embeddings like deepwalk or node2vec on large graphs
• learn knowledge graph embeddings with TransE or RotatE
• visualize high-dimensional graph data in 2D
• benchmark graph embedding models on standard datasets
• speed up network embedding training with GPUs
• download pre-trained graph embedding models

When to choose

• you need fast, large-scale graph or knowledge graph embedding training
• you want GPU-accelerated node2vec/DeepWalk/LINE with benchmarks
• you need graph visualization of high-dimensional data

When to avoid

• you need a pure-Python or Windows-native solution
• you need actively developed features beyond the supported models
• your graphs are tiny and CPU implementations suffice

Facets

library · maturity maintenance

machine-learning data-visualization gpu-computing benchmarking machine-learning deep-learning data-visualization cpp python graph-embedding network-embedding knowledge-graph-embedding node2vec deepwalk representation-learning algorithms linux gpu cuda

Member repositories

For agents

markdown · JSON · MCP: product_card(name="DeepGraphLearning/graphvite")