ProPEX-RAG is a prompt-driven, entity-guided RAG framework that emphasizes the role of prompt design in improving retrieval and reasoning across large knowledge graphs. Our approach unifies symbolic ...
Deep Learning with Yacine on MSN
Deep neural network from scratch in Python – fully connected feedforward tutorial
Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...
Abstract: The objective of question generation from knowledge graphs (KGQG) is to create coherent and answerable questions from a given subgraph and a specified answer entity. KGQG has garnered ...
Abstract: Knowledge graph construction is aimed at storing and representing the knowledge of the objective world in a structured form. Existing methods for automatic construction of knowledge graphs ...
A deep learning system that uses Graph Attention Networks (GAT) and LSTM to predict volatility spillovers across the Electric Vehicle supply chain by modeling real supplier relationships extracted ...
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