DDP-GCN: Multi-graph convolutional network for spatiotemporal traffic forecasting

Research article (Transportation Research Part C Emerging Technologies, 2021) · cited 145× · AI/ML
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DDP-GCN: Multi-graph convolutional network for spatiotemporal traffic forecasting

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DDP-GCN: Multi-graph convolutional network for spatiotemporal traffic forecasting is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). DDP-GCN: Multi-graph convolutional network for spatiotemporal traffic forecasting. Retrieved May 24, 2026, from https://4ort.xyz/entity/ddp-gcn-multi-graph-convolutional-network-for-spatiotemporal-traffic-forecasting
MLA “DDP-GCN: Multi-graph convolutional network for spatiotemporal traffic forecasting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ddp-gcn-multi-graph-convolutional-network-for-spatiotemporal-traffic-forecasting.
BibTeX @misc{4ortxyz_ddp-gcn-multi-graph-convolutional-network-for-spatiotemporal-traffic-forecasting_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DDP-GCN: Multi-graph convolutional network for spatiotemporal traffic forecasting}}, year = {2026}, url = {https://4ort.xyz/entity/ddp-gcn-multi-graph-convolutional-network-for-spatiotemporal-traffic-forecasting}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DDP-GCN: Multi-graph convolutional network for spatiotemporal traffic forecasting — https://4ort.xyz/entity/ddp-gcn-multi-graph-convolutional-network-for-spatiotemporal-traffic-forecasting (retrieved 2026-05-24)

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