584 citations · 605 across the 5 of their papers we have counts for
5 papers
Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks
Mingqi Yang, Yanming Shen, Heng Qi +1
For learning graph representations, not all detailed structures within a graph are relevant to the given graph tasks. Task-relevant structures can be or which…
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…
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…
Distributed Scheduling Algorithms for Crosspoint-Buffered Switches
Shunyuan Ye, Yanming Shen, Shivendra S. Panwar
Given the rapid increase in traffic, greater demands have been put on high-speed switching systems. Such systems have to simultaneously meet several constraints, e.g., high through…
A Distributed Scheduling Algorithm for High-Speed Switching Systems
Shunyuan Ye, Yanming Shen, Shivendra Panwar
Given the rapid increase in traffic, greater demands have been put on research in high-speed switching systems. Such systems have to simultaneously meet several constraints, e.g.,…