Companykg: Large-Scale Heterogeneous Graph for Investment Industry

EQTPartners released Companykg in June 2024 as a large-scale heterogeneous knowledge graph for the investment and private equity sector. It maps company relations to facilitate graph-based machine learning and industry benchmarking.

Use Cases

• Training Graph Neural Networks (GNNs) using company-to-company relation edges
• Benchmarking graph learning algorithms on heterogeneous investment data structures
• Generating node embeddings for private equity firms to identify similar investment targets

Strengths

• Heterogeneous graph structure supporting multiple node and edge types
• Domain-specific focus on private equity and investment industry
• MIT licensed for open research and commercial use

Limitations

• Specific node attributes and edge weights are not detailed in the primary metadata
• Potential geographic or sector bias toward the authoring organization's investment focus

Provenance

Source

EQTPartners

Freshness

Last updated June 2024.