IEEE

Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation

Abstract: This paper proposes a new Quantum Spatial Graph Convolutional Neural Network (QSGCNN) model that can directly learn a classification function for graphs of arbitrary sizes. Unlike ...
IEEE

Optimizing Vertex Pressure Dynamic Graph Partitioning in Many-Core Systems

Abstract: With the rise of graph-based algorithms in many applications, dynamic graphs have become critical for applications that work with real-time or time-series relationship data. Due to their ...