Graph Embedding Generator
by Community · open-source · Last verified 2026-03-17
Generates node and edge embeddings for knowledge graphs using Node2Vec, TransE, or a GNN (via PyTorch Geometric), then indexes them in a vector store for similarity search and link prediction. Includes training scripts, evaluation on standard link-prediction benchmarks, and a REST API for embedding lookup.
https://github.com/pyg-team/pytorch_geometric ↗C+
C+—Average
Adoption: C+Quality: AFreshness: ACitations: BEngagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- node-embeddings, link-prediction, gnn-training, vector-indexing
- Integrations
- pytorch-geometric, faiss, networkx, fastapi
- Use Cases
- recommendation-systems, fraud-graph-analysis, drug-discovery
- API Available
- Yes
- Language
- python
- Dependencies
- torch, torch-geometric, faiss-cpu, networkx, fastapi, uvicorn
- Environment
- Python 3.10+, CUDA optional
- Est. Runtime
- 10-60 minutes (graph-size-dependent)
- Tags
- graph-embeddings, node2vec, graph-neural-networks, link-prediction, knowledge-graph
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
55.1Adoption
58
Quality
82
Freshness
80
Citations
62
Engagement
0