Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

Graph Neural Networks for Predicting Circuit Reliability Degradation. TCAD 2022

Approximation-Aware Functional Reverse Engineering using Graph Neural Networks

[ASAP 2020; FPGA 2020] Hardware architecture to accelerate GNNs (common IP modules for minibatch training and full batch inference)

Implementation of paper "GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platform".