ENEXA, or Efficient Explainable Learning on Knowledge Graphs, is a cutting-edge European project focused on developing human-centered and transparent machine learning solutions for real-world knowledge graphs. As a Horizon Europe Project funded by the European Union, ENEXA aims to advance the field of machine learning by creating scalable, transparent, and explainable hybrid algorithms that combine symbolic and sub-symbolic learning. The project prioritizes knowledge graphs as a representation mechanism due to their rising popularity in various industries across Europe.

ENEXA stands out for its innovative approach to explainability, emphasizing human-centered techniques that involve collaboration between humans and machines to create easily understandable explanations. The project's ultimate goal is to revolutionize machine learning scalability, particularly on knowledge graphs, by ensuring formal guarantees of completeness and correctness. With a strong focus on sectors like business services, geospatial intelligence, and brand marketing, ENEXA is poised to make significant breakthroughs in the field of machine learning.