Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution

Research article (ACM Transactions on Knowledge Discovery from Data, 2022) · cited 492× · AI/ML
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Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution

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Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. Retrieved May 24, 2026, from https://4ort.xyz/entity/dynamic-graph-convolutional-recurrent-network-for-traffic-prediction-benchmark-and-solution
MLA “Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dynamic-graph-convolutional-recurrent-network-for-traffic-prediction-benchmark-and-solution.
BibTeX @misc{4ortxyz_dynamic-graph-convolutional-recurrent-network-for-traffic-prediction-benchmark-and-solution_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution}}, year = {2026}, url = {https://4ort.xyz/entity/dynamic-graph-convolutional-recurrent-network-for-traffic-prediction-benchmark-and-solution}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution — https://4ort.xyz/entity/dynamic-graph-convolutional-recurrent-network-for-traffic-prediction-benchmark-and-solution (retrieved 2026-05-24)

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