2 papers
cs.LG2026
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…
cs.LG2026
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…