most citedRevisiting Random Forests in a Comparative Evaluation of Graph Convolutional Neural Network Variants for Traffic Prediction

6 citations · 6 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2023★ 6 cited

Revisiting Random Forests in a Comparative Evaluation of Graph Convolutional Neural Network Variants for Traffic Prediction

Ta Jiun Ting, Xiaocan Li, Scott Sanner +1

Traffic prediction is a spatiotemporal predictive task that plays an essential role in intelligent transportation systems. Today, graph convolutional neural networks (GCNNs) have b…