Adversarial Robustness in Knowledge Graph Representation Learning

Adversarial Robustness in Knowledge Graph Representation Learning

Knowledge graphs represent factual knowledge about the world through relationships between concepts, which are crucial for intelligent decision-making in enterprise applications. By encoding concepts and relationships as low-dimensional feature vectors, new knowledge can be inferred from existing facts in the knowledge graph. The most effective representation method for this task is called Knowledge Graph Embedding … Read more