Abstract: Many real-world systems can be represented as graphs where the different entities in the system are presented by nodes and their interactions by edges. An important task in studying large ...

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 ...

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 ...