Abstract: Compared to traditional text classification methods, Graph Convolutional Neural Networks (GCNs) have an advantage in handling graph-structured data, making them more effective at capturing ...
Abstract: Graph-to-text generation task is transforms knowledge graphs into natural language. In current research, pretrained language models(PLMs) have shown better ...
With knowledge graphs getting more attention and usage is rising, I decided to pen down my thoughts on why Knowledge graphs and graph databases didn't have widespread use. The idea for graphs as a ...