IEEE

Graph Convolutional Network-Driven Adaptive Learning Framework for Fraud Detection in Complex Transactional Cryptonetworks

Abstract: With a growing need to tackle the issue of fraudulent transactions in the financial domain, especially with the boom of cryptocurrency. This study proposes a Graph Convolutional Network (GCN ...
IEEE

HGPplace: Hierarchical Chip Layout Optimization Combining Graph Convolutional Networks and Polygon-Aware Placement

Abstract: Since the advent of Electronic Design Automation (EDA) in integrated circuit (IC) design, layout optimization has become a critical factor in determining chip performance, power consumption, ...