FinReflectKG: Agentic Construction and Evaluation of Financial Knowledge Graphs

The financial domain poses unique challenges for knowledge graph (KG) construction at scale due to the complexity and regulatory nature of financial documents. Despite the critical importance of structured financial knowledge, the field lacks large-scale, open-source datasets capturing rich semantic relationships from corporate disclosures. We introduce an open-source, large-scale financial knowledge graph dataset built from the latest annual SEC 10-K filings of all S&P 100 companies - a comprehensive resource designed to catalyze research in financial AI.

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Publication Details

Published
2025-11-14
DOI
https://doi.org/10.1145/3768292.3770363
Citations
2
Primary Topic
Advanced Graph Neural Networks
Type
article
Field-Weighted Citation Impact
4.96
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article

FinReflectKG: Agentic Construction and Evaluation of Financial Knowledge Graphs

Stefano Pasquali, Bhaskarjit Sarmah, Fabrizio Dimino, Abhinav Arun et al.
2 citations
Advanced Graph Neural Networks
4.96
article

FinReflectKG: Agentic Construction and Evaluation of Financial Knowledge Graphs

Stefano Pasquali, Bhaskarjit Sarmah, Fabrizio Dimino, Abhinav Arun, Tejas Prakash Agarwal
article en
2 citations

Abstract

The financial domain poses unique challenges for knowledge graph (KG) construction at scale due to the complexity and regulatory nature of financial documents. Despite the critical importance of structured financial knowledge, the field lacks large-scale, open-source datasets capturing rich semantic relationships from corporate disclosures. We introduce an open-source, large-scale financial knowledge graph dataset built from the latest annual SEC 10-K filings of all S&P 100 companies - a comprehensive resource designed to catalyze research in financial AI.

Becton Dickinson (India) (IN), Domus Medica (BE)
Openalex Percentile: Top 4%
Advanced Graph Neural Networks
4.96
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