3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.LG2020★ 3 cited
Breaking the Expressive Bottlenecks of Graph Neural Networks
Mingqi Yang, Yanming Shen, Heng Qi +1
Recently, the Weisfeiler-Lehman (WL) graph isomorphism test was used to measure the expressiveness of graph neural networks (GNNs), showing that the neighborhood aggregation GNNs w…
eess.SP2020
Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions
Xueyan Yin, Genze Wu, Jinze Wei +3
Traffic prediction plays an essential role in intelligent transportation system. Accurate traffic prediction can assist route planing, guide vehicle dispatching, and mitigate traff…