Paper Citation Record · LEDGER

Graph WaveNet for Deep Spatial-Temporal Graph Modeling

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 39 inbound Pith citation observations for arXiv:1906.00121.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1906.00121 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 39 of 39 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:05:12.760560Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-11T01:47:47.639374Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 18c4218b-e533-451e-b56f-0537b124ffa0 · inbound

Graph Retention Networks for Dynamic Graphs cites this paper.

Graph Retention Networks for Dynamic Graphs Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-23T17:45:46.157220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 44a2edbe-6ed7-4360-b611-fa978d28fe4b · inbound

Global-local Spatial-temporal Aware Graph Attention Network for Network Traffic Forecasting cites this paper.

Global-local Spatial-temporal Aware Graph Attention Network for Network Traffic Forecasting Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-22T16:36:47.042856Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d155a2ca-45a6-4f95-a389-109816492113 · inbound

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion cites this paper.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T11:05:12.760560Z

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Observation 0d9c2f40-2462-4f90-9263-f5ca24282fca · inbound

Multi-Level Service Performance Forecasting via Spatiotemporal Graph Neural Networks cites this paper.

Multi-Level Service Performance Forecasting via Spatiotemporal Graph Neural Networks Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T22:22:00.015034Z

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Observation a93f4eee-1f55-4512-901a-a4787f75317b · inbound

STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction cites this paper.

STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-05-21T22:20:42.134625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d3fadce8-bf03-4f7f-85ca-b30177937eb2 · inbound

STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction cites this paper.

STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-05-25T07:36:41.910840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5b6e9311-3deb-47fb-a22d-4c68db9de8f9 · inbound

STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting cites this paper.

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

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Observation 335caa49-3ff3-4172-96f0-c605fa0151d1 · inbound

Ada-TransGNN: An Air Quality Prediction Model Based On Adaptive Graph Convolutional Networks cites this paper.

Ada-TransGNN: An Air Quality Prediction Model Based On Adaptive Graph Convolutional Networks Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:27.702762Z

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Observation c40b5fb7-79bf-44fe-8e5f-11fe442e72a1 · inbound

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data cites this paper.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T16:47:27.813056Z

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Observation e6cd94fb-2516-4606-98d8-410f373e99fe · inbound

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses cites this paper.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.156317Z

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Observation 2c52aa7a-9c3a-478c-b33e-587fd9a90921 · inbound

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting cites this paper.

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T12:03:18.244752Z

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Observation bfbb8fa2-aedc-4ff5-a7dc-5278506d2108 · inbound

Policy4OOD: A Knowledge-Guided World Model for Policy Intervention Simulation against the Opioid Overdose Crisis cites this paper.

Policy4OOD: A Knowledge-Guided World Model for Policy Intervention Simulation against the Opioid Overdose Crisis Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-02T23:53:43.224685Z

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Observation c2f5313e-8d6f-4562-ab06-1f60ed0574e6 · inbound

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective cites this paper.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:55:50.559692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ea532b01-38ee-49d6-b33e-fafdd661aff4 · inbound

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective cites this paper.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:56:34.757126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 14582c59-fc1b-401e-ac32-c3eef4d819f3 · inbound

Modern Structure-Aware Simplicial Spatiotemporal Neural Network cites this paper.

Modern Structure-Aware Simplicial Spatiotemporal Neural Network Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:08:26.575951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 43099cdb-6dfe-463f-925a-7372d3c35b2c · inbound

Unveiling Stochasticity: Universal Multi-modal Probabilistic Modeling for Traffic Forecasting cites this paper.

Unveiling Stochasticity: Universal Multi-modal Probabilistic Modeling for Traffic Forecasting Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:17:37.514265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 722bffaf-9948-4266-aee2-7fba824d0d62 · inbound

Unveiling Stochasticity: Universal Multi-modal Probabilistic Modeling for Traffic Forecasting cites this paper.

Unveiling Stochasticity: Universal Multi-modal Probabilistic Modeling for Traffic Forecasting Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-12T19:26:59.003108Z

Source-reported events for the cited work

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Observation b1598ac7-0a4f-44f4-a852-4c66a57f6bb5 · inbound

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba cites this paper.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:32:00.272219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cbf0c61b-ca38-4c75-9e5c-765672bd8462 · inbound

BiTA: Bidirectional Gated Recurrent Unit-Transformer Aggregator in a Temporal Graph Network Framework for Alert Prediction in Computer Networks cites this paper.

BiTA: Bidirectional Gated Recurrent Unit-Transformer Aggregator in a Temporal Graph Network Framework for Alert Prediction in Computer Networks Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:03:12.382387Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d42d7da3-0115-4ff5-8a58-d98e8a043679 · inbound

HELIX: Hybrid Encoding with Learnable Identity and Cross-dimensional Synthesis for Time Series Imputation cites this paper.

HELIX: Hybrid Encoding with Learnable Identity and Cross-dimensional Synthesis for Time Series Imputation Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:20:43.192577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2f1fc8de-4ce7-4762-a923-5cf77d5e9819 · inbound

AirQualityBench: A Realistic Evaluation Benchmark for Global Air Quality Forecasting cites this paper.

AirQualityBench: A Realistic Evaluation Benchmark for Global Air Quality Forecasting Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:41:09.142740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d23dadd4-2ab2-4d34-a37b-246e175e2770 · inbound

SpatialEpiBench: Benchmarking Spatial Information and Epidemic Priors in Forecasting cites this paper.

SpatialEpiBench: Benchmarking Spatial Information and Epidemic Priors in Forecasting Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:16:11.242620Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3ff6fa00-5a24-4e35-88eb-b2c7eb13bbcc · inbound

Built Environment Reasoning from Remote Sensing Imagery Using Large Vision--Language Models cites this paper.

Built Environment Reasoning from Remote Sensing Imagery Using Large Vision--Language Models Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:26:24.297272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bb6822d3-326a-4846-82a2-4c6420ecad4a · inbound

TSNN: A Non-parametric and Interpretable Framework for Traffic Time Series Forecasting cites this paper.

TSNN: A Non-parametric and Interpretable Framework for Traffic Time Series Forecasting Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:06:15.275363Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3628870f-e5a6-436f-af12-eb682323ffe9 · inbound

Bridge: Retrieval-Augmented Spatiotemporal Modeling for Urban Delivery Demand cites this paper.

Bridge: Retrieval-Augmented Spatiotemporal Modeling for Urban Delivery Demand Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-20T11:48:15.223544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dd8ad652-4d6f-481b-a5a9-a39c5950c5fa · inbound

Graph Navier Stokes Networks cites this paper.

Graph Navier Stokes Networks Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 77

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:13:58.205650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1ce2ff86-8cbc-47df-951e-b7944351aedc · inbound

Graph Navier Stokes Networks cites this paper.

Graph Navier Stokes Networks Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:14:56.842280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0cc8f808-4e85-4eaa-a1e9-1492151f3b6e · inbound

Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting cites this paper.

Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:33:15.680552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b5ab2059-c8ab-4891-aa8c-21f4389e8542 · inbound

CausalPOI: Spatio-Temporal Graph-Based Causal Modeling for Cold-Start POI Check-in Forecasting cites this paper.

CausalPOI: Spatio-Temporal Graph-Based Causal Modeling for Cold-Start POI Check-in Forecasting Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-02T07:26:45.855408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ded57cfb-4486-4fbf-8888-c230171a5e8d · inbound

Vessel Traffic Flow Prediction on Sparse Data via Spatio-Temporal Graph Neural Networks with a Learnable Tweedie Head cites this paper.

Vessel Traffic Flow Prediction on Sparse Data via Spatio-Temporal Graph Neural Networks with a Learnable Tweedie Head Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-02T16:27:09.764888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 09755bcd-16e7-4f29-856b-ece49717a625 · inbound

From Coarse to Fine: Managing Temporal Granularity in Spatio-Temporal Data for Fine-Grained Traffic Prediction cites this paper.

From Coarse to Fine: Managing Temporal Granularity in Spatio-Temporal Data for Fine-Grained Traffic Prediction Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:17:30.952367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8c7070fc-f9e1-4633-b213-5dfc2b22acee · inbound

FDN: Interpretable Spatiotemporal Forecasting with Future Decomposition Networks cites this paper.

FDN: Interpretable Spatiotemporal Forecasting with Future Decomposition Networks Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:40:00.479980Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a54a8d32-d87b-471d-b4f8-ac31c7f99ca7 · inbound

Parameter-Efficient Quantum-Inspired Fast Weight Programmers for Traffic-Matrix Forecasting cites this paper.

Parameter-Efficient Quantum-Inspired Fast Weight Programmers for Traffic-Matrix Forecasting Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:13:53.299941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2da40612-2f24-453d-b756-bca3b59a8e4a · inbound

STAGformer: A Spatio-temporal Agent Graph Transformer for Micro Mobility Demand Forecasting cites this paper.

STAGformer: A Spatio-temporal Agent Graph Transformer for Micro Mobility Demand Forecasting Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-11T01:47:47.661967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9aeee9d0-b22c-4dd6-8441-c6f651aa3457 · inbound

Do We Really Need Adaptive Global Spatial Attention for Traffic Forecasting? cites this paper.

Do We Really Need Adaptive Global Spatial Attention for Traffic Forecasting? Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-15T05:55:25.279392Z

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Observation 7426ee85-1979-416e-af77-9c06bde60b34 · inbound

STKAN: Kolmogorov-Arnold Networks for Spatio-Temporal Forecasting cites this paper.

STKAN: Kolmogorov-Arnold Networks for Spatio-Temporal Forecasting Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T06:28:27.628299Z

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Observation 6e89e427-b98a-4da7-b23d-96614dff4add · inbound

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling cites this paper.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T10:29:11.391621Z

Source-reported events for the cited work

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Observation 47601704-0868-4e54-8b48-bac4393c6fab · inbound

Atmospheric Diffusion-Guided Spatio-Temporal Transformer for Nuclear Radiation Forecasting cites this paper.

Atmospheric Diffusion-Guided Spatio-Temporal Transformer for Nuclear Radiation Forecasting Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T11:35:21.812241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01f9e404-89be-4b28-bb2f-d2869ac54238 · inbound

Identifiability-Aware Source Apportionment in City-Scale Advection-Diffusion Systems cites this paper.

Identifiability-Aware Source Apportionment in City-Scale Advection-Diffusion Systems Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T01:37:37.415098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.