While graph machine learning, and notably graph neural networks (GNNs), have gained immense traction in recent years, application is predicated on access to a known input graph upon which predictive ...

GraGR: Gradient-Guided Graph Reasoner GraGR is a comprehensive gradient-guided graph reasoning framework that addresses gradient conflicts in graph neural networks through systematic conflict ...

Abstract: Graph-based data are very ubiquitous in many real-world scenarios, and it is usually difficult to mine valuable information from the large scale graphs because of traditional sparse and high ...