Shypd.aiThe largest open index of AI toolsDeepPath is a reinforcement learning method for knowledge graph reasoning. It learns multi-hop relational paths using a policy-based agent and knowledge graph embeddings.
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DeepPath is an open-source reinforcement learning framework designed for reasoning in large-scale knowledge graphs. It employs a policy-based agent with continuous states derived from knowledge graph embeddings, allowing it to navigate and sample promising relations to extend its paths within a knowledge graph vector-space. A key differentiator is its reward function, which considers accuracy, diversity, and efficiency in its reasoning process. The tool has been shown to outperform path-ranking based algorithms and other knowledge graph embedding methods on datasets like Freebase and Never-Ending Language Learning. It provides scripts for finding reasoning paths, evaluating fact prediction, and assessing link prediction, making it a valuable resource for researchers and developers in the field of knowledge graph analysis.
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