Abstract: Aiming at the issue that most of the existing knowledge graph-based methods for personalized learning resource recommendations do not take full advantage of collaborative signals from ...
Why every eCommerce platform needs a knowledge graph: better search, smarter recommendations, and AI-powered enterprise ...
The resulting knowledge graph provides a robust framework for understanding sepsis, supporting clinical decision-making, and facilitating further research. The success of this approach underscores the ...
GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search optimization. Making your brand machine-readable and increasing its chances of being ...
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
4d
Modern Data & Knowledge Platforms: The Foundation Every AI Strategy Actually Runs On: SD Times 100
Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...
Abstract: Knowledge graph reasoning (KGR), aiming to deduce new facts from existing facts based on mined logic rules underlying knowledge graphs (KGs), has become a fast-growing research direction. It ...
This is the PyTorch implementation for DiffKG proposed in the paper DiffKG: Knowledge Graph Diffusion Model for Recommendation, which is accepted by WSDM 2024 Oral. Yangqin Jiang, Yuhao Yang, Lianghao ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results