12 citations · 52 across the 13 of their papers we have counts for
4 papers · 1 filter
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…
Deep Reinforcement Learning Boosted by External Knowledge
Nicolas Bougie, Ryutaro Ichise
Recent improvements in deep reinforcement learning have allowed to solve problems in many 2D domains such as Atari games. However, in complex 3D environments, numerous learning epi…
Sub-Classifier Construction for Error Correcting Output Code Using Minimum Weight Perfect Matching
Patoomsiri Songsiri, Thimaporn Phetkaew, Ryutaro Ichise +1
Multi-class classification is mandatory for real world problems and one of promising techniques for multi-class classification is Error Correcting Output Code. We propose a method…