This repository presents a solution for multiclass text classification on the DBpedia-14 Ontology Classification Dataset using two advanced Graph Neural Network (GNN) architectures: Graph Convolutional Networks (GCN) and Graph Sample and Aggregated Embeddings (GraphSAGE).
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This repository presents a solution for multiclass text classification on the DBpedia-14 Ontology Classification Dataset using two advanced Graph Neural Network (GNN) architectures: Graph Convolutional Networks (GCN) and Graph Sample and Aggregated Embeddings (GraphSAGE).
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HimasagarU/DbPedia-Enitity-Classification-using-GCNs-and-GraphSage
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This repository presents a solution for multiclass text classification on the DBpedia-14 Ontology Classification Dataset using two advanced Graph Neural Network (GNN) architectures: Graph Convolutional Networks (GCN) and Graph Sample and Aggregated Embeddings (GraphSAGE).
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