342 citations · 953 across the 32 of their papers we have counts for
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cs.LG2022★ 50 cited
Jointly Contrastive Representation Learning on Road Network and Trajectory
Zhenyu Mao, Ziyue Li, Dedong Li +2
Road network and trajectory representation learning are essential for traffic systems since the learned representation can be directly used in various downstream tasks (e.g., traff…
cs.LG2022★ 4 cited
DOTIN: Dropping Task-Irrelevant Nodes for GNNs
Shaofeng Zhang, Feng Zhu, Junchi Yan +2
Scalability is an important consideration for deep graph neural networks. Inspired by the conventional pooling layers in CNNs, many recent graph learning approaches have introduced…