STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via | Paper Citation Record

Observation d4c96bb9-e1a1-4817-bd8f-912f1d4b4fe9 · outbound

This paper cites Domain fusion cnn-lstm for short-term power consumption forecasting,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Domain fusion cnn-lstm for short-term power consumption forecasting,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:50.075429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d6a83b64-0286-443f-ac5e-5356dda2c683 · outbound

This paper cites Stock price forecast based on cnn-bilstm-eca model,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Stock price forecast based on cnn-bilstm-eca model,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:50.059357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3be77fd2-6b75-4ed6-a952-490caad86b80 · outbound

This paper cites Supply chain sales forecasting based on lightgbm and lstm combination model,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Supply chain sales forecasting based on lightgbm and lstm combination model,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:49.936009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 02191e64-0d66-4b26-9565-7953173248c8 · outbound

This paper cites Multivariate time series anomaly detection and interpretation using hierarchical inter- metric and temporal embedding,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Multivariate time series anomaly detection and interpretation using hierarchical inter- metric and temporal embedding,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:49.891249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e38a6ba7-7fe2-42f2-85d4-fb24c10337c2 · outbound

This paper cites St-norm: Spatial and temporal normalization for multi-variate time series forecasting,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via St-norm: Spatial and temporal normalization for multi-variate time series forecasting,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:49.875896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2e4bf352-2853-4534-8275-9db54f51165a · outbound

This paper cites Quality assurance using outlier detection on an automatic segmentation method for the cerebellar peduncles,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Quality assurance using outlier detection on an automatic segmentation method for the cerebellar peduncles,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:49.859711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c5195122-8723-4b8a-a08b-3f2d85980433 · outbound

This paper cites Outlier detection in weight time series of connected scales,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Outlier detection in weight time series of connected scales,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:49.844557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9d7dd927-77dd-4bb9-a7c1-5f8a093ec466 · outbound

This paper cites an unresolved cited work.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.136586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd3c35f7-5dc8-41ba-8835-766a56da0d6f · outbound

This paper cites Bidirectional recurrent neural net- works,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Bidirectional recurrent neural net- works,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.140471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7558c44-9092-40da-90ec-0a582d5c664d · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.144743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85cab1f6-3833-4292-beb0-99196bf8e6f2 · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via WaveNet: A Generative Model for Raw Audio

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.150043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95c8fa27-de21-46d3-bb66-f57a04e3a8e8 · outbound

This paper cites Modeling long-and short-term temporal patterns with deep neural networks,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Modeling long-and short-term temporal patterns with deep neural networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:49.728216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 18724ef5-ee19-488e-9415-9cdc75736de2 · outbound

This paper cites Convolutional lstm network: A machine learning approach for precipitation nowcasting,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Convolutional lstm network: A machine learning approach for precipitation nowcasting,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.158804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1de50b3-f050-4462-9370-a1475a114cff · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.163314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 347b7d4c-5e5e-42dc-9146-196207683a3c · outbound

This paper cites Attention is all you need,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Attention is all you need,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.225467Z

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Unavailable: canonical work link unavailable.

Observation cc69fc71-a3a0-4e0c-a47e-188db4732266 · outbound

This paper cites Autoformer: Decomposition trans- formers with auto-correlation for long-term series forecasting,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Autoformer: Decomposition trans- formers with auto-correlation for long-term series forecasting,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.287382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cfb430b-00f9-424d-ab95-6d4b6fcf1eb7 · outbound

This paper cites Preformer: predictive transformer with multi- scale segment-wise correlations for long-term time series forecasting,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Preformer: predictive transformer with multi- scale segment-wise correlations for long-term time series forecasting,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:49.575357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0b64e223-3055-4366-967f-eea8cb8ac2c4 · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long-term series fore- casting,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Fedformer: Frequency enhanced decomposed transformer for long-term series fore- casting,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.297173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0786bcbf-adfa-45d5-b42f-0fd54f03005d · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Informer: Beyond efficient transformer for long sequence time-series forecasting,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.301748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de878e93-d67c-47aa-934d-4b5904c33de0 · outbound

This paper cites Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.306503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb03fd3f-2e6e-46c4-99d0-c6c62886565b · outbound

This paper cites Are transformers effective for time series forecasting?.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Are transformers effective for time series forecasting?

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.310734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7724c0ec-ac78-4390-8b35-447fec453ec1 · outbound

This paper cites Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.315420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07ed061e-baf7-4103-9a82-e4b7b351c3f0 · outbound

This paper cites MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.319798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d38190c-7293-4e21-a8e9-642cc9c4dd5c · outbound

This paper cites Long-term Forecasting with TiDE: Time-series Dense Encoder.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.324479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a65d974c-b0dc-4ca2-b7e2-277b6085d749 · outbound

This paper cites Con- necting the dots: Multivariate time series forecasting with graph neural networks,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Con- necting the dots: Multivariate time series forecasting with graph neural networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:49.523545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a125dec1-fc3a-4bd3-9b5e-665566eea79b · outbound

This paper cites Spectral temporal graph neural network for multivariate time-series forecasting,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Spectral temporal graph neural network for multivariate time-series forecasting,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:49.509303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7d4705e9-cb29-465f-84cb-c7686fcbdbfc · outbound

This paper cites Graph WaveNet for Deep Spatial-Temporal Graph Modeling.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.336213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59d547c1-c0fa-48f8-a6e7-d21b918f8f7f · outbound

This paper cites Spatial temporal graph convolutional networks for skeleton-based action recognition,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Spatial temporal graph convolutional networks for skeleton-based action recognition,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.340842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48e13a66-a9cf-4ebf-862f-623934e32373 · outbound

This paper cites A review on outlier/anomaly detection in time series data,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via A review on outlier/anomaly detection in time series data,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:49.425265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3984e558-f479-4b14-a20d-f8a5d38b956d · outbound

This paper cites Detecting spacecraft anomalies using lstms and nonparametric dynamic thresholding,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Detecting spacecraft anomalies using lstms and nonparametric dynamic thresholding,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.348954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b196a398-a8f2-4227-9502-c27ba5a83038 · outbound

This paper cites Deepant: A deep learning approach for unsupervised anomaly detection in time series,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Deepant: A deep learning approach for unsupervised anomaly detection in time series,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.353118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de2905e8-8ab4-489b-b741-9b8c905efd74 · outbound

This paper cites Online learning of contextual hidden markov models for temporal-spatial data analysis,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Online learning of contextual hidden markov models for temporal-spatial data analysis,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:49.346604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 44d224bd-52a2-4c69-a594-a9c9efe96b98 · outbound

This paper cites Time Series Anomaly Detection; Detection of anomalous drops with limited features and sparse examples in noisy highly periodic data.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Time Series Anomaly Detection; Detection of anomalous drops with limited features and sparse examples in noisy highly periodic data

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.361549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7468214f-e313-4b21-863c-d6457cac38b8 · outbound

This paper cites LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.366168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ed6af6b-c200-4e3b-8519-8f41ddb2db71 · outbound

This paper cites Robust anomaly detection for multivariate time series through stochastic recurrent neural network,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Robust anomaly detection for multivariate time series through stochastic recurrent neural network,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.371374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3fa0f4b-3a47-4f6e-b077-583cb61c782e · outbound

This paper cites A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:49.323924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c7b58ee3-88d9-446a-af2b-e3117489b09d · outbound

This paper cites Multivariate time-series anomaly detection via graph attention network,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Multivariate time-series anomaly detection via graph attention network,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:49.308717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 31181618-b29e-48dd-a76f-13cd6f3d71bf · outbound

This paper cites Unsupervised anomaly detection with generative adversarial networks to guide marker discovery,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Unsupervised anomaly detection with generative adversarial networks to guide marker discovery,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.384041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cba6377-48f9-4970-b61c-3fe9fee950eb · outbound

This paper cites Mad-gan: Multivariate anomaly detection for time series data with generative adversarial networks,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Mad-gan: Multivariate anomaly detection for time series data with generative adversarial networks,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.398644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0f15b4c-90f7-4b76-a1c0-d5cee63dc065 · outbound

This paper cites Tanogan: Time series anomaly detection with generative adversarial networks,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Tanogan: Time series anomaly detection with generative adversarial networks,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:49.181289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f0258b18-d604-46f9-a13a-a6f4559f4b92 · outbound

This paper cites Usad: Unsupervised anomaly detection on multivariate time series,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Usad: Unsupervised anomaly detection on multivariate time series,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:49.094127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e7cd7c58-16e7-45c7-997a-71fff4c5946e · outbound

This paper cites Daemon: Unsupervised anomaly detection and interpretation for multivariate time series,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Daemon: Unsupervised anomaly detection and interpretation for multivariate time series,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:49.078371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2a353924-26d7-4361-bc19-562c0cd8a3d5 · outbound

This paper cites Outlier detection and removal improves accuracy of machine learning approach to multispectral burn diagnostic imaging,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Outlier detection and removal improves accuracy of machine learning approach to multispectral burn diagnostic imaging,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:49.063053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aea2d536-dc6d-4162-a0ed-5dc6e35c6ea2 · outbound

This paper cites Automatic outlier detection for time series: an application to sensor data,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Automatic outlier detection for time series: an application to sensor data,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:49.047397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation db2f340c-f8b9-44df-9e6f-23ab29cc917f · outbound

This paper cites Automated load curve data cleansing in power systems,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Automated load curve data cleansing in power systems,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:49.032548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation da1ffd68-60d5-4406-bd9b-1db654d82893 · outbound

This paper cites Probabilistic reasoning for streaming anomaly detection,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Probabilistic reasoning for streaming anomaly detection,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:48.928312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7ebb73ba-9905-4435-b014-e5d457e95a5f · outbound

This paper cites Screen: stream data cleaning under speed constraints,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Screen: stream data cleaning under speed constraints,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:48.851690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 71d9a8f6-ae28-40c7-8141-86b40abaea19 · outbound

This paper cites Sequential data cleaning: A statistical approach,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Sequential data cleaning: A statistical approach,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:38:48.834034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ed4715ee-436b-42e1-87c9-d9a4ee58ebbc · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Semi-Supervised Classification with Graph Convolutional Networks

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.525713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2fbb69b-90c8-44d9-9aae-11b691b0a6ca · outbound

This paper cites How Attentive are Graph Attention Networks?.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via How Attentive are Graph Attention Networks?

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.529611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 909274a4-e5bc-4884-995a-636bb24bbf05 · outbound

This paper cites Long short-term memory,.

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via Long short-term memory,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:48.564913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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