These engaging activities can help students visualize and manipulate the relationships between objects in space—skills that ...

Abstract: Knowledge graph (KG) question generation (QG) aims to generate natural language questions from KGs and target answers. Previous works mostly focus on a simple setting that is to generate ...

We aim to build a pre-trained Graph Neural Network (GNN) model on molecules without human annotations or prior knowledge. Although various attempts have been proposed to overcome limitations in ...

Based on InfraNodus AI text analysis and visualization tool, this plugin visualizes the content of Obsidian vaults as a knowledge graph, retrieves the main topical clusters, most important ideas, and ...

Abstract: This paper proposes a subgraph-aware classification framework that integrates efficient frequent subgraph mining with graph neural networks (GNNs) to address the limitations of existing GNNs ...