Knowledge Graph, Large Language Model, BERT, Knowledge Management, Small and Medium-Sized Enterprises, Accounting, Supply Chain Management Zheng, Y. (2026) Knowledge Graph Application in KM for ...
An AI-generated Swedish “heartthrob” tops Spotify, but the country’s charts have (correctly) decided that if you want to be ...
Two University of Iowa engineers have won funding from the National Science Foundation to develop a theory that would improve ...
A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...
Cardinal McElroy decided as soon as he got here to meet with lay leaders from as many parishes as possible. He wanted to hear ...
Due to the complexity of hotel operation processes, abnormal situations are inevitable, making proactive anomaly prediction essential for ensuring operational stability. Although current deep learning ...
Abstract: In the field of graph self-supervised learning (GSSL), graph autoencoders and graph contrastive learning are two mainstream methods. Graph autoencoders aim to learn representations by ...
Abstract: In this work, we focus on the task of learning the promising graph for clustering and present a novel Tensorized Graph Learning (TGL) framework, which synergizes the neighbor and ...
Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, Shanghai 200237, China ...
Large Language Models (LLMs) have set new benchmarks in natural language processing, but their tendency for hallucination—generating inaccurate outputs—remains a critical issue for knowledge-intensive ...
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