AI-powered framework combines CNNs and knowledge graphs to detect credit risk early in internet finance firms, enhancing prediction accuracy and decision transparency.

To this end, we propose an online graph learning approach that handles model mismatch problem by combining multiple expert algorithms via an expert-tracking algorithm. Theoretically, we prove that our ...

Based on the above considerations, the knowledge graph and attention mechanism ... we successively perform text preprocessing and Multi-CNN algorithm to extract text features to reduce text noise.

This approach improves Retrieval-Augmented Generation (RAG) performance by using LLM-generated knowledge graphs. In situations where typical ... in Artificial Intelligence and Machine Learning. She is ...

Abstract: Spectral clustering with graph learning usually performs eigen-decomposition on the adaptive graph to obtain embedded ... Finally, an efficient algorithm with feedback training scheme is ...

Though we're living through a time of extraordinary innovation in GPU-accelerated machine learning, the latest research papers frequently (and prominently) feature algorithms that are ... to convert ...

Work in Ma et al. (2018) used holographic reduced representation (HRR) to map graphs into high-dimensional space. However, this approach relies on external learning algorithms, i.e., neural networks, ...