Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T18:19:00.657557Z
Paper Citation Record · LEDGER
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting
As of 5 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2508.16685.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
52 of 52 outbound references displayed
- verified exact1
- verified fuzzy41
- unresolved10
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d757bb20-8dbd-4dd1-b4cc-e4b6673b6b67 · outbound
This paper cites A survey of intelligent transportation systems.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting A survey of intelligent transportation systems
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:08.445356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9417a350-784d-4ae3-ad65-b3a7a30da42b · outbound
This paper cites A novel fuzzy deep-learning approach to traffic flow prediction with uncertain spatial--temporal data features.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting A novel fuzzy deep-learning approach to traffic flow prediction with uncertain spatial--temporal data features
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:08.325091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4ffda72a-aeb6-4968-ad85-63ae1de85782 · outbound
This paper cites Multi-range attentive bicomponent graph convolutional network for traffic forecasting.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Multi-range attentive bicomponent graph convolutional network for traffic forecasting
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:08.203281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b6305b77-7a59-45e9-9761-1f87ee67d182 · outbound
This paper cites Enhancing Traffic Flow Prediction using Outlier-Weighted AutoEncoders: Handling Real-Time Changes.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Enhancing Traffic Flow Prediction using Outlier-Weighted AutoEncoders: Handling Real-Time Changes
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T18:19:00.913117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7b05bf1b-8d36-4c52-9036-9cb9b1f2e630 · outbound
This paper cites A Generalization of Transformer Networks to Graphs.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting A Generalization of Transformer Networks to Graphs
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:18:56.415493Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d68032cc-9134-4ffa-9a4e-4c0fe26f0b85 · outbound
This paper cites Adaptive graph spatial-temporal transformer network for traffic forecasting.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Adaptive graph spatial-temporal transformer network for traffic forecasting
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:08.024884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9874bbff-2f3f-49d8-8818-d6a013c2f48e · outbound
This paper cites Towards the development of intelligent transportation systems.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Towards the development of intelligent transportation systems
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:07.830957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d5330b5d-f1e4-439b-9ac6-ae8b67f37158 · outbound
This paper cites Attention based spatial-temporal graph convolutional networks for traffic flow forecasting.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Attention based spatial-temporal graph convolutional networks for traffic flow forecasting
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:07.703769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9a5088a0-bde0-4038-aeb3-13de1fd87aaf · outbound
This paper cites Explainable traffic flow prediction with large language models.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Explainable traffic flow prediction with large language models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:18:56.779312Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e58161eb-1568-4121-a157-001f25d1bd0b · outbound
This paper cites Short-term prediction of traffic volume in urban arterials.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Short-term prediction of traffic volume in urban arterials
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:07.544248Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9ddda0c6-7a55-4c16-8ae5-e46bbc7f6556 · outbound
This paper cites Modern machine learning methods for time series analysis.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Modern machine learning methods for time series analysis
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:07.359909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7a658add-92d0-4482-bf2a-ebf950b5ed44 · outbound
This paper cites Learning multiaspect traffic couplings by multirelational graph attention networks for traffic prediction.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Learning multiaspect traffic couplings by multirelational graph attention networks for traffic prediction
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:07.170855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 84edd3f1-413c-41be-98e9-caa00f0c43aa · outbound
This paper cites Sts-ccl: Spatial-temporal synchronous contextual contrastive learning for urban traffic forecasting.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Sts-ccl: Spatial-temporal synchronous contextual contrastive learning for urban traffic forecasting
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:07.020569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 07e3f708-4449-4f20-836c-7291e60f94e9 · outbound
This paper cites Spatial-temporal fusion graph neural networks for traffic flow forecasting.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Spatial-temporal fusion graph neural networks for traffic flow forecasting
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:06.845857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 829855d6-a57b-4816-a026-d311e551005a · outbound
This paper cites Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:18:57.343239Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9c6ac13-a053-44c9-ba38-afebda466dcc · outbound
This paper cites Intelligent traffic flow prediction and analysis based on internet of things and big data.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Intelligent traffic flow prediction and analysis based on internet of things and big data
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:06.690094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3f9b1247-e6b8-4541-a676-5bbabcf5dd45 · outbound
This paper cites Physical-virtual collaboration modeling for intra-and inter-station metro ridership prediction.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Physical-virtual collaboration modeling for intra-and inter-station metro ridership prediction
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:06.532927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 55c84117-869a-49b9-acb2-446d1e550753 · outbound
This paper cites Short-term traffic flow prediction with conv-lstm.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Short-term traffic flow prediction with conv-lstm
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:06.344816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation af57d1b3-43eb-4a8f-b9ed-ff0fba71151f · outbound
This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Swin transformer: Hierarchical vision transformer using shifted windows
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:06.167871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 72eeb47c-1f88-49b2-952f-37a67234f535 · outbound
This paper cites St-trafficnet: A spatial-temporal deep learning network for traffic forecasting.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting St-trafficnet: A spatial-temporal deep learning network for traffic forecasting
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:05.969727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 96e20d20-bd03-4165-aaad-28c26c45869c · outbound
This paper cites Neural Network Intelligence , 1 2021.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Neural Network Intelligence , 1 2021
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:05.773902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 48841247-e9b7-4e9c-a2ba-0fc78c10c42b · outbound
This paper cites An overview of model-driven and data-driven forecasting methods for smart transportation.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting An overview of model-driven and data-driven forecasting methods for smart transportation
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:05.556446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3d139cff-f40f-4c14-93eb-6f8100dba0e2 · outbound
This paper cites Dynamic time warping.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Dynamic time warping
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:05.352500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2acc724f-b460-4bc9-8ec0-67cabccd885a · outbound
This paper cites Traffic flow prediction for smart traffic lights using machine learning algorithms.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Traffic flow prediction for smart traffic lights using machine learning algorithms
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:05.134727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4ca5a98a-65d9-4bd6-a385-ddf79f36293d · outbound
This paper cites Traffic flow prediction using support vector regression.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Traffic flow prediction using support vector regression
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:04.891085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 269c6bca-811b-4648-af19-80f88d9d1ce3 · outbound
This paper cites Prospects and challenges of metaverse application in data-driven intelligent transportation systems.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Prospects and challenges of metaverse application in data-driven intelligent transportation systems
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:04.641282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0dc50c39-99f8-4834-bbc1-c3adbffa531d · outbound
This paper cites Dynamic prediction of traffic volume through kalman filtering theory.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Dynamic prediction of traffic volume through kalman filtering theory
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:04.416249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1accf739-170e-4dab-b643-ffa201322847 · outbound
This paper cites Adaptive bayesian network for traffic flow prediction.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Adaptive bayesian network for traffic flow prediction
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:04.136481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ac17dec0-3533-4192-8991-fc01bed5dc14 · outbound
This paper cites Artificial intelligence-based traffic flow prediction: a comprehensive review.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Artificial intelligence-based traffic flow prediction: a comprehensive review
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:03.950105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 544b31eb-1ef5-4cec-b04e-a9f2c01fd52d · outbound
This paper cites Spatial-temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data forecasting.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Spatial-temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data forecasting
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:03.775921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d00fba38-8077-41ac-9d76-8900b26caf3e · outbound
This paper cites Sequence to Sequence Learning with Neural Networks.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Sequence to Sequence Learning with Neural Networks
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:18:58.782763Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8f21cd5-66b7-45e1-a712-7f22fa5da7f0 · outbound
This paper cites Combining kohonen maps with arima time series models to forecast traffic flow.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Combining kohonen maps with arima time series models to forecast traffic flow
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:03.519902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f0acc66b-3ef4-4eaf-922c-1a7be5c8b872 · outbound
This paper cites Attention is all you need.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Attention is all you need
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:18:58.999207Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31f30a59-393c-4e0c-a298-7a3bd4293284 · outbound
This paper cites Traffic flow prediction based on bp neural network.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Traffic flow prediction based on bp neural network
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:03.368669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a2d7c9fe-c625-4005-a99b-a5baa8aef8ec · outbound
This paper cites Modeling and forecasting vehicular traffic flow as a seasonal arima process: Theoretical basis and empirical results.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Modeling and forecasting vehicular traffic flow as a seasonal arima process: Theoretical basis and empirical results
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:03.141886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 54c8c042-fbcf-4d4d-a587-5e0b025465d8 · outbound
This paper cites Multi-scale spatio-temporal attention networks for network-scale traffic learning and forecasting.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Multi-scale spatio-temporal attention networks for network-scale traffic learning and forecasting
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:02.967583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5b6e9311-3deb-47fb-a22d-4c68db9de8f9 · outbound
This paper cites Graph WaveNet for Deep Spatial-Temporal Graph Modeling.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:18:59.407540Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f25a61d4-93b5-46c4-95b5-414575a3c05d · outbound
This paper cites Spatiotemporal synchronous dynamic graph attention network for traffic flow forecasting.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Spatiotemporal synchronous dynamic graph attention network for traffic flow forecasting
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:02.764677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 39556834-9884-4632-acc4-57e9e5775508 · outbound
This paper cites Overview of machine learning-based traffic flow prediction.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Overview of machine learning-based traffic flow prediction
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:02.628384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 04e67416-51da-4d2e-990b-49de0e040aa4 · outbound
This paper cites Spatial-Temporal Transformer Networks for Traffic Flow Forecasting.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Spatial-Temporal Transformer Networks for Traffic Flow Forecasting
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:18:59.694678Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c67b7c2-f862-4f08-9877-6643e8f22d45 · outbound
This paper cites Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:18:59.774522Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bec1ebfa-faba-46b8-9ea2-84463c3ef746 · outbound
This paper cites Do transformers really perform badly for graph representation? Advances in neural information processing systems , 34:28877--28888, 2021.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Do transformers really perform badly for graph representation? Advances in neural information processing systems , 34:28877--28888, 2021
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:02.453925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 066a5b5f-78b4-4755-9f8c-1b457d9ad935 · outbound
This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:18:59.945263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 216becbd-01f0-4bf2-9e9d-902e8fa1fa6a · outbound
This paper cites Sthsgcn: Spatial-temporal heterogeneous and synchronous graph convolution network for traffic flow prediction.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Sthsgcn: Spatial-temporal heterogeneous and synchronous graph convolution network for traffic flow prediction
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:02.261678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 934ea034-ec55-4e0b-8f40-89c9989acf6d · outbound
This paper cites Dynamic spatial-temporal memory augmentation network for traffic prediction.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Dynamic spatial-temporal memory augmentation network for traffic prediction
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:02.072715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e4c501b5-bd98-4382-a49c-1d633c859cfe · outbound
This paper cites Data-driven intelligent transportation systems: A survey.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Data-driven intelligent transportation systems: A survey
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:01.894914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation af4e7982-684a-4f7e-a5d2-9630bdb7f965 · outbound
This paper cites Urban traffic flow congestion prediction based on a data-driven model.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Urban traffic flow congestion prediction based on a data-driven model
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:01.722840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0b66b4b6-3141-462c-b337-7c6116e9cdb4 · outbound
This paper cites An improved k-nearest neighbor model for short-term traffic flow prediction.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting An improved k-nearest neighbor model for short-term traffic flow prediction
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:01.583885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aa08c772-2730-42f2-9142-bcc9bd0bcf8a · outbound
This paper cites T-gcn: A temporal graph convolutional network for traffic prediction.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting T-gcn: A temporal graph convolutional network for traffic prediction
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:01.411024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6a23e58f-78f4-4514-861c-bfb525f9eee8 · outbound
This paper cites Gman: A graph multi-attention network for traffic prediction.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Gman: A graph multi-attention network for traffic prediction
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:01.280264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 43788a73-b6c6-4270-bb70-1ca97a8179d0 · outbound
This paper cites Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:19:00.561233Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef8c0e09-81d1-4eac-a9e8-93c73f36a6b1 · outbound
This paper cites Kst-gcn: A knowledge-driven spatial-temporal graph convolutional network for traffic forecasting.
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting Kst-gcn: A knowledge-driven spatial-temporal graph convolutional network for traffic forecasting
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:19:01.123451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
No inbound Pith citation observations are available.