most citedModeling Network-level Traffic Flow Transitions on Sparse Data

23 citations · 24 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2024★ 1 cited

Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework

Junxian Li, Bin Shi, Erfei Cui +2

We study the challenging problem for inference tasks on large-scale graph datasets of Graph Neural Networks: huge time and memory consumption, and try to overcome it by reducing re…

cs.LG2022★ 23 cited

Modeling Network-level Traffic Flow Transitions on Sparse Data

Xiaoliang Lei, Hao Mei, Bin Shi +1

Modeling how network-level traffic flow changes in the urban environment is useful for decision-making in transportation, public safety and urban planning. The traffic flow system…