Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting

Research article (2023 IEEE 39th International Conference on Data Engineering (ICDE), 2023) · cited 35× · AI/ML
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Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting

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Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting. Retrieved May 24, 2026, from https://4ort.xyz/entity/self-supervised-spatial-temporal-bottleneck-attentive-network-for-efficient-long-term-traffic-forecasting
MLA “Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/self-supervised-spatial-temporal-bottleneck-attentive-network-for-efficient-long-term-traffic-forecasting.
BibTeX @misc{4ortxyz_self-supervised-spatial-temporal-bottleneck-attentive-network-for-efficient-long-term-traffic-forecasting_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting}}, year = {2026}, url = {https://4ort.xyz/entity/self-supervised-spatial-temporal-bottleneck-attentive-network-for-efficient-long-term-traffic-forecasting}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting — https://4ort.xyz/entity/self-supervised-spatial-temporal-bottleneck-attentive-network-for-efficient-long-term-traffic-forecasting (retrieved 2026-05-24)

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