5 papers
Evidence-Supported Credit Risk Report Generation Using News-Centric Financial Knowledge Graphs
Rocio Jimenez-Villen, Ziwei Xu, Ying Chen +2
Financial markets evolve in response to real-world events reported in news, yet these drivers often remain implicit in text. To better explain market dynamics, event-market relatio…
A Unified Benchmark for Evaluating Knowledge Graph Construction Methods and Graph Neural Networks
Othmane Kabal, Mounira Harzallah, Fabrice Guillet +2
Knowledge graphs automatically constructed from text are increasingly used in real-world applications. However, their inherent noise, fragmentation, and semantic inconsistencies si…
Robustness of Graph Self-Supervised Learning to Real-World Noise: A Case Study on Text-Driven Biomedical Graphs
Othmane Kabal, Mounira Harzallah, Fabrice Guillet +2
Graph Self-Supervised Learning (GSSL) offers a powerful paradigm for learning graph representations without labeled data. However, existing work assumes clean, manually curated gra…
Causal Inference in Finance: An Expertise-Driven Model for Instrument Variables Identification and Interpretation
Ying Chen, Ziwei Xu, Kotaro Inoue +1
Instrumental Variable (IV) provides a source of treatment randomization that is conditionally independent of the outcomes, responding to the challenges of counterfactual and confou…
Negative Sampling in Knowledge Graph Representation Learning: A Review
Tiroshan Madushanka, Ryutaro Ichise
Knowledge Graph Representation Learning (KGRL), or Knowledge Graph Embedding (KGE), is essential for AI applications such as knowledge construction and information retrieval. These…