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 ...

The intersection of large language models and graph databases is one that’s rich with possibilities. The folks at property graph database maker Neo4j today took a first step in realizing those ...