IEEE

Learning to Variable Selection with Hybrid Convolutional and Attentional Graph Neural Networks

Abstract: Solving Mixed Integer Linear Programming (MILP) problems is of considerable practical importance. The Branch and bound (B&B) method is widely used to solve MILP problems. In this paper, we ...
IEEE

Research on Dispute Case Relationship Analysis and Prediction Based on Graph Convolutional ...

Abstract: In this paper, a method combining Graph Convolutional Network (GCN) and BERT model is proposed to analyze and predict the relationship between dispute cases in depth. By constructing a case ...