Graph Vector Function Architecture (GVFA)是一种基于超维计算（HDC）的零样本方法，通过固定超维向量代数操作（如结合和叠加）生成图表示，无需训练。实验表明，GVFA在节点和图分类任务中优于经典GNN，且训练时间显著减少，验证了其高效性和泛化能力。 本文提出了一 ...

Learn how to determine the resultant vector by adding, subtracting and multiplying vectors by a scalar. We will also learn ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Graph database vendor Neo4j announced today new capabilities for vector ...

Whether IT leaders opt for the precision of a Knowledge Graph or the efficiency of a Vector DB, the goal remains clear—to harness the power of RAG systems and drive innovation, productivity, and ...