In this paper, a graph-theory-based approach for representing planar mechanisms is presented, the Santiago Portilla method (SPM). From the corresponding adjacency matrix, SPM generates an extended ...

This paper introduces a novel graph neural layer, the dynamic connection layer (DCL), designed to address chemical graphs’ inaccurate atomic connection. The DCL layer employs a correction function, ...

Knowledge graph reasoning (KGR) seeks to infer new factual triples from existing knowledge graphs (KGs). Recent methods have unified transductive and inductive reasoning by learning entity-independent ...

Down the Rabbit Hole: NLP based GraphRag with Qdrant and Neo4j This a Python application that implements a knowledge graph enhanced retrieval-augmented generation (RAG) pipeline. It combines ...