mlsanityData to 14 Oct 2026

CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification

arXiv 2306.10649 ↗First posted 18 Jun 2023cs.AI cs.CE cs.DBcited by 6

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Abstract (arXiv)

In the investment industry, it is often essential to carry out fine-grained company similarity quantification for a range of purposes, including market mapping, competitor analysis, and mergers and acquisitions. We propose and publish a knowledge graph, named CompanyKG, to represent and learn diverse company features and relations. Specifically, 1.17 million companies are represented as nodes enriched with company description embeddings; and 15 different inter-company relations result in 51.06 million weighted edges. To enable a comprehensive assessment of methods for company similarity quantification, we have devised and compiled three evaluation tasks with annotated test sets: similarity prediction, competitor retrieval and similarity ranking. We present extensive benchmarking results for 11 reproducible predictive methods categorized into three groups: node-only, edge-only, and node+edge. To the best of our knowledge, CompanyKG is the first large-scale heterogeneous graph dataset originating from a real-world investment platform, tailored for quantifying inter-company similarity.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 36 of its 78 references that are in the map. First posted on arXiv 18 Jun 2023.

Builds on

36 of 78 references.

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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 2; 2025: 2; 2026: 2.

6 papers.

  1. 2025KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAGcited by 29
  2. 2024Natural Language Processing for Human Resources: A Surveycited by 10
  3. 2024Enhancing Startup Success Predictions in Venture Capital: A GraphRAG Augmented Multivariate Time Series Methodcited by 2
  4. 2025Language Models Guidance with Multi-Aspect-Cueing: A Case Study for Competitor Analysiscited by 0
  5. 2026What Makes a Peer? Valuation-Anchored Similarity in Private Marketscited by 0
  6. 2026Corporate-Family Resolution Is Not a String-Matching Problem: A Public Benchmark Stratified by Name Visibilitycited by 0