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06/20/2023
Deep Double Self-Expressive Subspace Clustering
Deep subspace clustering based on auto-encoder has received wide attenti...
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10/30/2022
STGC-GNNs: A GNN-based traffic prediction framework with a spatial-temporal Granger causality graph
The key to traffic prediction is to accurately depict the temporal dynam...
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11/26/2020
KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting
When considering the spatial and temporal features of traffic, capturing...
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11/22/2020
AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting
Traffic forecasting is a fundamental and challenging task in the field o...
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06/20/2020
A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting
Accurate real-time traffic forecasting is a core technological problem a...
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11/12/2018
