Abstract: Aiming at the problem that existing knowledge graph-based recommendation algorithms do not fully utilize the interaction information between users and items, this paper proposes a ...
SM-GNN prunes multi-view GNNs to pure propagation, cutting training time while outperforming prior MKGC accuracies on two ...
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 ...
Second Brain apps are a potential productivity trap if you try to force them into your workflow without understanding their ...
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 ...
AI agent fervor has permeated the software development world. But, we’re no longer talking about a singular, all-knowing AI. Rather, emerging agentic workflows rely on multiple specialized agents ...
AI code generation for accelerating software development is gaining significant attention these days. However, this could lead to a growing bottleneck in managing all aspects that occur after ...
Credit: Image generated by VentureBeat with FLUX-pro-1.1 Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including ...
Ever Googled yourself and wished for that polished informational box to pop up on the results page? That’s a Google Knowledge Panel. More than just a helpful box on the search engine results page ...
The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...
Relay catalysis connects multiple catalytic reactions so that the product of one step becomes the reactant of the next. This approach can improve efficiency, increase selectivity, and reduce energy ...