This requires models to have cognition of the characteristics of traffic data. However, current deep learning models based on spatiotemporal networks typically employ single-scale graph convolutions ...

Veloclade is a research prototype of a neuro-symbolic knowledge graph system. It uses clade-inspired hierarchy + embedding clustering (sentence-transformers) to control ontology growth and mitigate ...

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Abstract: Finding connectivity in graphs has numerous applications, such as social network analysis, data mining, intra-city or inter-cities ... in massive graphs (billions of edges and vertices) is ...